457 Remote SQL Jobs in India

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

This is not an on-call support role. As our Integration Support Engineer, you will own Oddr's support function end to end, with full control over system changes and fixes and the independence to redesign processes and architecture once leadership approves your ideas. You will wear many hats: leader, integration engineer, automation builder, and customer partner. You will use Claude and other LLM tools to make support more agentic and automate repetitive work across Azure, DevOps, SQL, and cloud integrations.

The core responsibilities for the job include the following:

Own and Lead:

• Own the support board and be accountable for every support outcome.
• Decide on, build, test, and deploy fixes and changes to production.
• Propose process and architecture improvements; implement them independently once approved.
• Coordinate with engineering, product, and implementation to resolve issues.

Automate and Optimize:

• Build AI agents and workflows (Claude, other LLMs) for triage, log analysis, root-cause investigation, and customer replies.
• Replace repetitive manual work with scripts, scheduled jobs, and AI-assisted workflows.
• Turn team knowledge into reusable playbooks, prompts, and documentation.

Integrations, Cloud, and Data:

• Troubleshoot, build, and improve integrations using iPaaS, Azure services, REST/SOAP APIs, SFTP, JSON, and XML.
• Ship changes through Azure DevOps and SDLC practices.
• Write and optimize SQL for investigation, validation, and reconciliation.
• Shape cloud architecture for reliability, observability, and scale.

Customers:

• Work directly with customers as their technical partner, communicating clearly and proactively.
• Solve both technical and business problems, learning new systems as needed.
• Oddr: AI-powered billing, invoicing, and revenue intelligence for law firms.

Requirements:

• 5+ years in integration engineering or support, including leading or solely owning a support function.
• Proven ownership: driving changes independently and seeing improvements through.
• Hands-on use of LLM tools (Claude, ChatGPT, Copilot, or similar) to automate work.
• Scripting for automation (Python, PowerShell, or similar).
• Strong SQL and database troubleshooting skills.
• Experience with Azure (functions, logic apps, monitoring) and Azure DevOps or similar CI/CD.
• Solid grasp of cloud architecture, integration patterns, REST/SOAP APIs, and at least one iPaaS (e. g., Boomi).
• Curious, comfortable wearing multiple hats, and confident working directly with customers.
• Bachelor's degree in computer science, IT, or a related field.
• Able to work 6:00 PM - 5:00 AM IST.

Nice to Have:

• Experience building AI agents (MCP, tool-calling, LLM APIs).
• Azure, Boomi, or other cloud/iPaaS certifications.
• Experience with Intapp Integration Builder or legal-industry systems.

What Great Looks Like:

• You own the role: every issue has a clear owner, priority, and next step.
• Each quarter, more support work is handled by automation and AI.
• Root causes get fixed, not patched, and you deliver approved process and architecture improvements.
• Customers and internal teams see you as the go-to owner of support.

Senior Data Engineer Databricks and Snowflake 

Exp- 7+ years

Rate: 30 LPA

Location: Remote

Time zone: ET (US Eastern time)

Shift: Night Shift

Type: Fulltime

Main tech requirements: Databricks, Snowflake, Spark, AWS, RDS, Oracle, MSSQL, domain of histopathology

Responsibilities:

Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners).

Create and optimize data flows for structured and unstructured data using Python (PySpark), R, SQL, Databricks, Snowflake, and other modern engineering tools.

Develop and maintain specific data repositories, implementing enterprise-level data models, and creating new models as needed.

Enable AI/ML readiness by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise data standards.

What we expect:

Bachelor’s degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred.

6+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment.

Proficiency with Python, R, SQL, and cloud-based architectures (AWS services, Snowflake, Databricks, Redshift) along with Spark and dbt.

Proficiency in RDS

Expertise in ETL and DWH.

Experience with NoSQL and graph databases.

English language proficiency of B2+

Strong analytical, problem-solving, and stakeholder-management skills, with the ability to translate discussions into actionable requirements.

Ability to drive multiple exciting projects simultaneously with strong organizational skills and adaptability.

Nice to have:

Experience working with the histopathology domain

Experience with regulated or standards-driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards.

Familiarity with high dimensional data (e.g., imaging, sensor data, etc).

Experience with principles connecting to or feeding MLOps and model deployment workflows.

Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems.

Exposure to knowledge graph or ontology-driven architectures.

Lead Data Security Solution Engineer

Exp: 10+ years

Rate: 35 LPA

Location: Remote

Time zone: ET (US Eastern time)

Shift: Night Shift

Type: Fulltime​

Responsibilities:

1. Technical and Database Assessment

Review Data In-Licensing requirements, workflow maps, data flows, data lineage, entitlement rules, and dependency records.

Assess relational database platforms, schemas, connectivity methods, interfaces, drivers, service identities, query patterns, and downstream consumption.

Identify where licensed data is stored, transformed, replicated, extracted, cached, archived, or backed up.

Assess current database security capabilities and identify gaps, constraints, risks, and prerequisites.

2. Data-Level Authentication and Identity Integration

Assess authentication for named users, service identities, workloads, and analytical tools accessing databases.

Evaluate OAuth/OIDC or other identity- and token-based authentication directly to the database where supported by the selected technology.

Design integration between enterprise identities, security groups, project groups, database principals, roles, and policy engines.

Reduce reliance on shared or long-lived credentials where feasible and define secure credential or token handling for unavoidable exceptions.

Align with tools currently available and identify gaps if any,

3. Fine-Grained Authorization and Data Firewalling

Design database-level controls that restrict access to explicitly authorized users, groups, services, projects, or licensing populations.

Design and implement row-level security, column-level security, dynamic masking, views, policy-based filtering, or equivalent controls as appropriate.

Define isolation patterns for different licensed datasets and agreements while preserving permitted platform use for other users.

Ensure controls are consistently enforced as close to the data layer as technically feasible and are not solely dependent on application logic.

4. Auditing, Monitoring, and Traceability

Design database auditing to capture who accessed data, what was accessed, when access occurred, and which identity or service was used.

Define logging for queries, exports, failed access attempts, permission changes, and privileged activity where supported and required.

Integrate audit telemetry with appropriate monitoring and reporting capabilities and define retention and evidence requirements.

Validate that audit records are searchable, attributable, protected from inappropriate modification, and useful for investigation.

5. Data Lifecycle, Revocation, and Deletion

Design controls for access revocation when users change roles, leave a project, or when licensing rights expire.

Design methods to identify and remove licensed data from primary stores and relevant downstream copies, extracts, caches, or derived stores.

Address deletion implications for referential integrity, backups, archives, replication, recovery processes, and downstream consumers.

Define validation, exception handling, and evidence mechanisms to demonstrate that required deletion activities were completed.

6. Solution Architecture and Engineering

Translate requirements into current-state and target-state architectures, technical specifications, security patterns, and implementation plans.

Compare solution options and document trade-offs across security, feasibility, performance, scalability, operability, cost, and technology constraints.

Define database connectivity, policy-enforcement, identity, audit, monitoring, lifecycle, and integration components.

Collaborate with database, IAM, security architecture, infrastructure, application, data platform, governance, and scientific teams.

7. POC Design and Execution

Select suitable relational database and workflow candidates that represent Data In-Licensing scenarios and material technical risks.

Define POC architecture, test data, test identities, success criteria, negative tests, performance considerations, and rollback approach.

Implement and validate identity-based authentication, fine-grained authorization, data firewalling, auditing, access revocation, and deletion scenarios.

Document outcomes, limitations, operational considerations, reusable patterns, and recommendations for broader adoption.

What we expect:

Expected Deliverables

Technical assessment of databases, integrations, identities, and data flows

Current-state database security and capability assessment

Target-state data security architecture and detailed technical design

Database authentication and identity-integration design

Row-level, column-level, masking, and policy-enforcement design

Data firewalling and licensed-dataset isolation pattern

Audit, monitoring, traceability, and reporting design

Access revocation, retention, lifecycle, and deletion design

Solution options, feasibility, gap, dependency, and risk assessment

POC architecture, implementation, test results, and recommendations

Reusable implementation patterns and operational handover documentation

Required Technical Skills and Experience

Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, privileges, and access paths.

Practical experience implementing database-level authorization, including row-level and column-level controls or equivalent fine-grained mechanisms.

Strong knowledge of database authentication, IAM, OAuth 2.0, OIDC, tokens, service identities, workload identities, and secrets management.

Experience designing secure database connectivity and integrations for applications, analytical tools, APIs, ETL/ELT, and data pipelines.

Experience with database auditing, query/activity monitoring, centralized logging, alerting, and investigation support.

Understanding of data lineage, lifecycle, retention, revocation, deletion, backup, archive, and recovery implications.

Ability to evaluate heterogeneous database technologies and design platform-appropriate controls.

Strong architecture, engineering, troubleshooting, documentation, and stakeholder-collaboration skills.

Nice to have:

Experience with enterprise data platforms, cloud or hybrid databases, data catalogs, access governance, and policy-enforcement technologies.

Experience in pharmaceutical research, scientific data, intellectual property protection, data licensing, or another regulated environment.

Experience designing and executing security POCs and converting validated patterns into production-ready designs.

Knowledge of privacy, contractual-use restrictions, segregation, and evidence requirements affecting licensed data.

LEAD DATA SECURITY SOLUTION ENGINEER

Experience: 10+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹35 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Lead Data Security Solution Engineer with strong expertise in database security, IAM, authentication, authorization, and enterprise data architecture.

The candidate will be responsible for assessing existing database environments, designing secure data access architectures, implementing fine-grained authorization controls, and ensuring licensed data is protected throughout its lifecycle.

The role involves working closely with database, IAM, security, infrastructure, application, data platform, and governance teams.

Key Responsibilities

1. Technical and Database Assessment

• Assess database platforms, schemas, data flows, data lineage, connectivity, and downstream dependencies.
• Review where licensed data is stored, transformed, replicated, extracted, cached, archived, and backed up.
• Evaluate existing database security capabilities and identify gaps, risks, and technical constraints.

2. Authentication and Identity Integration

• Design secure authentication for users, applications, service identities, and workloads.
• Implement or evaluate OAuth 2.0, OIDC, token-based authentication, and enterprise IAM integration.
• Integrate enterprise identities, security groups, database roles, and policy engines.
• Reduce dependency on shared and long-lived credentials.

3. Fine-Grained Authorization and Data Security

• Design and implement database-level access controls.
• Implement Row-Level Security (RLS), Column-Level Security (CLS), dynamic data masking, and policy-based filtering.
• Design secure isolation patterns for licensed datasets.
• Ensure security policies are enforced at the database layer.

4. Auditing, Monitoring, and Traceability

• Design database auditing and activity monitoring.
• Track user access, queries, exports, permission changes, and privileged activities.
• Integrate audit logs with centralized monitoring and reporting systems.
• Define audit retention and investigation requirements.

5. Data Lifecycle and Deletion

• Design access revocation mechanisms for users, projects, and expired licensing agreements.
• Define secure data deletion processes across databases, backups, archives, caches, and downstream systems.
• Ensure deletion activities are validated and supported by audit evidence.

6. Solution Architecture and Engineering

• Develop current-state and target-state security architectures.
• Prepare technical specifications, implementation plans, and reusable security patterns.
• Evaluate solution options based on security, scalability, performance, feasibility, and cost.
• Collaborate with cross-functional technical and business teams.

7. POC Design and Execution

• Design and execute Proof of Concepts (POCs) for database security scenarios.
• Validate authentication, authorization, data isolation, auditing, access revocation, and deletion.
• Document test results, technical limitations, recommendations, and implementation approaches.

Required Technical Skills

• 10+ years of experience in database engineering, data security, solution architecture, or related fields.
• Strong hands-on experience with relational databases, SQL, database architecture, schemas, roles, and privileges.
• Experience implementing Row-Level Security (RLS), Column-Level Security (CLS), dynamic masking, and fine-grained authorization.
• Strong understanding of IAM, OAuth 2.0, OIDC, token-based authentication, service identities, and workload identities.
• Experience with secrets management and secure database connectivity.
• Knowledge of database auditing, query monitoring, centralized logging, alerting, and security investigations.
• Experience securing integrations involving applications, APIs, analytical tools, and ETL/ELT pipelines.
• Understanding of data lineage, retention, lifecycle management, revocation, deletion, backup, and recovery.
• Ability to assess heterogeneous database platforms and recommend suitable security architectures.
• Strong architecture, troubleshooting, documentation, and stakeholder-management skills.

Nice to Have

• Experience with enterprise data platforms and cloud or hybrid database environments.
• Knowledge of data catalogs, access governance, and policy-enforcement technologies.
• Experience in pharmaceutical research, healthcare, scientific data, or intellectual property protection.
• Exposure to data licensing, contractual-use restrictions, and regulated environments.
• Experience designing and executing security POCs and implementing production-ready solutions.

Expected Deliverables

• Database security and capability assessment.
• Current-state and target-state security architecture.
• Database authentication and IAM integration design.
• Fine-grained authorization and data-masking design.
• Data firewalling and licensed-dataset isolation patterns.
• Audit, monitoring, and traceability framework.
• Data revocation, retention, and deletion strategy.
• Technical feasibility, gap, dependency, and risk assessments.
• POC implementation, test results, and recommendations.
• Reusable technical documentation and operational handover.

Work Requirements

• Fully remote opportunity.
• Full-time employment.
• Must be comfortable working in the US Eastern Time (ET) night shift.
• Budget: Up to ₹35 LPA.

SENIOR DATA ENGINEER – DATABRICKS & SNOWFLAKE

Experience: 7+ Years

Location: Remote

Employment Type: Full-Time

Budget: Up to ₹30 LPA

Time Zone: US Eastern Time (ET)

Shift: US ET Night Shift

Job Description

We are looking for an experienced Senior Data Engineer with strong expertise in Databricks, Snowflake, Apache Spark, and AWS to design, develop, and maintain scalable data engineering solutions.

The candidate will work on integrating data from multiple sources, building modern data pipelines, developing enterprise data models, and preparing data platforms for AI/ML applications.

Experience in healthcare, scientific data, or the histopathology domain will be an added advantage.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to acquire, integrate, and manage data from diverse sources such as laboratory systems, MES, clinical supply, quality systems, and external partners.
• Develop and optimize data workflows for structured and unstructured data using Python, PySpark, R, SQL, Databricks, and Snowflake.
• Design and maintain enterprise-level data models and data repositories.
• Perform ETL development, data warehousing, database design, and data integration.
• Ensure data quality, versioning, traceability, and consistency to support AI/ML readiness.
• Collaborate with stakeholders and technical teams to translate business requirements into technical solutions.
• Manage multiple projects while ensuring scalability, performance, and reliability.

Required Skills

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with Databricks and Snowflake.
• Excellent knowledge of Apache Spark / PySpark.
• Strong experience with AWS cloud services and AWS RDS.
• Experience with Oracle and Microsoft SQL Server (MSSQL).
• Proficiency in Python, R, and SQL.
• Strong understanding of ETL, Data Warehousing (DWH), data modeling, and database design.
• Experience with dbt and cloud-based data architectures.
• Knowledge of NoSQL and graph databases.
• Strong analytical, problem-solving, and stakeholder-management skills.
• Good English communication skills (B2 level or above).
• Willingness to work in the US Eastern Time (ET) night shift.

Preferred / Good to Have

• Experience in histopathology, healthcare, life sciences, or scientific data environments.
• Knowledge of CDISC, HL7, FHIR, OMOP, DICOM, or other regulated data standards.
• Experience handling high-dimensional data, including imaging and sensor data.
• Familiarity with MLOps and machine learning model deployment workflows.
• Knowledge of Manufacturing Execution Systems (MES) and Laboratory Information Management Systems (LIMS).
• Exposure to knowledge graphs and ontology-driven architectures.

Education

Bachelor's degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field. A master's degree is preferred.

Interested candidates can apply with their updated resumes.

About the Role

We are looking for enthusiastic Backend Developer Interns to join our team remotely for a 3-month internship. This is an excellent opportunity to gain hands-on experience in backend development, work on real projects, and expand your technical skills.

Responsibilities

• Assist in developing and maintaining backend services and APIs.
• Work with databases (SQL/NoSQL) for data storage and retrieval.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Write clean, efficient, and reusable code.
• Debug, troubleshoot, and optimize backend performance.
• Participate in code reviews and team discussions.
• Document technical processes and contributions.

Requirements

• Basic knowledge of at least one backend language/framework (Node.js, Python/Django/Flask, Java/Spring Boot, or similar).
• Understanding of RESTful APIs and web services.
• Familiarity with relational and/or NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Knowledge of Git/GitHub for version control.
• Strong problem-solving and analytical skills.
• Ability to work independently in a remote environment.
• Good communication skills and eagerness to learn.

What You'll Gain

• Real-world experience in backend development.
• Mentorship and exposure to industry practices.
• Completion Certificate at the end of the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your portfolio with live projects.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation

About the Role

We are looking for enthusiastic Data Analytics Interns to join our team remotely for a 3-month internship. This is an excellent opportunity to gain hands-on experience in data analysis, data visualization, database management, and reporting. The selected candidates will have the opportunity to work on real projects, analyze datasets, and develop their technical and analytical skills.

Responsibilities

• Assist in collecting, cleaning, organizing, and analyzing datasets.
• Work with SQL and databases for data retrieval, manipulation, and analysis.
• Use Microsoft Excel to organize data, perform calculations, and prepare reports.
• Assist in creating dashboards and visualizations using Power BI or Tableau.
• Work with Python libraries such as Pandas and NumPy for data analysis.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Prepare reports and presentations based on analytical findings.
• Assist in tracking key performance indicators (KPIs) and monitoring business data.
• Maintain accurate documentation of data analysis activities and project contributions.
• Collaborate with team members on data-related projects and analytical tasks.

Requirements

• Basic knowledge of Data Analytics and data analysis concepts.
• Understanding of SQL and database fundamentals.
• Familiarity with Microsoft Excel and data management.
• Basic knowledge of Python is preferred.
• Familiarity with data visualization tools such as Power BI or Tableau is an advantage.
• Strong analytical and problem-solving skills.
• Good research and organizational abilities.
• Attention to detail and accuracy.
• Ability to work independently in a remote environment.
• Good communication skills and eagerness to learn.

What You'll Gain

• Real-world experience in data analytics and business intelligence.
• Hands-on experience with data cleaning, analysis, and visualization.
• Exposure to industry-relevant tools such as SQL, Python, Excel, and Power BI.
• Mentorship and exposure to practical analytical processes.
• Completion Certificate at the end of the internship.
• Letter of Recommendation based on performance.
• Opportunity to strengthen your portfolio with real-world data projects.

Internship Details

• Duration: 3 months
• Location: Remote (Work from Home)
• Perks: Completion Certificate + Letter of Recommendation

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

Junior PHP/Laravel developer - Education ERP

Experience: 1.5-3 Years

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities:

Develop and maintain web applications using Core PHP and Laravel.

Write and optimize MySQL/SQL queries and perform database operations.

Develop and maintain ERP/EdTech modules and features.

Create and integrate REST APIs and third-party services.

Debug and resolve application issues and bugs.

Understand existing codebases, database structures, and data flow.

Follow coding standards, Git practices, and development best practices.

Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase
• Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer:

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

Junior PHP/Laravel Developer - Education ERP

Experience: 1.5 -3 Years

Employment Type: Full Time

Location : Remote

We are looking for a Junior PHP/Laravel Developer with hands -on experience in Core PHP ,Laravel ,and MySQL The candidate will work

on Education ERP/EdTech applications, developing new features, fixing

bugs ,handling databases,,and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize My SQL/SQLqueries and perform database operations.

About the role

You'll join our Backend, Data & ML team and support API development, database work, integrations and data tasks under the guidance of senior teammates.

What you'll do

• Build and maintain backend APIs and services.
• Write database queries, migrations and data scripts.
• Support third-party and internal integrations.
• Help with data processing and cleaning tasks.
• Fix bugs, write tests and document your work.

What we're looking for

• 1-3 years of backend experience (internships and strong projects count).
• Working knowledge of Django and SQL.
• Understanding of REST APIs, databases and Git.
• Interest in data engineering and ML.
• Clear communication and willingness to learn.
• Experience working with AI tools for development such as Claude and Cursor

Note: You don't need to be full stack. A solid backend foundation and the ability to work with frontend and mobile teammates is what we're after.

Nice to have

• Python and basic data tools (for example pandas).
• Exposure to cloud platforms or Docker.

About the role

You'll work alongside a Senior Backend, Data & ML Developer and our existing backend team to build backend systems, process data, and integrate ML and data science models into our platform.

What you'll do

• Build and maintain backend services and APIs.
• Develop data processing workflows and pipelines.
• Implement, integrate and maintain ML models and data science algorithms in production.
• Optimise database queries, data models and system performance.
• Work with the frontend and mobile teams on API integrations.
• Write tests and documentation, and take part in code reviews.

What we're looking for

• 3–5 years of backend development experience.
• Strong skills in Django and working knowledge of SQL databases.
• Practical experience with ML models and data science algorithms, from training or integration through to deployment.
• Experience handling and transforming data at scale.
• Experience with cloud platforms, Git and CI/CD.
• Clear communication with backend, web and mobile teammates.
• Experience working with AI tools for development such as Claude and Cursor

Note: Full-stack experience isn't required. Strong backend and data skills plus good cross-team communication matter most.

Nice to have

• Python data and ML tools (for example pandas, scikit-learn or PyTorch).
• Experience with model serving or MLOps tools.

Shift: Second Shift (2:00 PM – 10:00 PM)

Joining: Immediate

About the Role

We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.

The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.

This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.

Key Responsibilities

SQL Development & Performance Optimization

• Develop complex SQL queries, stored procedures, and data transformation logic.
• Optimize SQL queries for performance, scalability, and efficiency.
• Perform advanced data analysis, validation, and reconciliation.
• Troubleshoot complex SQL and data-related issues.

ETL Development & Data Integration

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Work with SQL and Python for data extraction, transformation, and loading.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify and resolve data pipeline failures and integration issues.

Data Warehousing & Data Modeling

• Design and maintain data warehouse architectures.
• Develop data warehouse schemas based on business requirements.
• Work on dimensional data modeling, including Facts and Dimensions.
• Implement Slowly Changing Dimensions (SCD).
• Support data analysis and business information reconciliation.

Snowflake & AWS

• Develop and manage data solutions using Snowflake.
• Work with AWS services, particularly Amazon S3.
• Manage AWS connections and data access configurations.
• Build and maintain cloud-based data integration solutions.

Python & Apache Airflow

• Develop data processing and automation solutions using Python.
• Build, schedule, and monitor workflows using Apache Airflow.
• Troubleshoot workflow failures and improve pipeline reliability.

Agile & Development Lifecycle

• Participate in Agile development processes, sprint planning, and team discussions.
• Contribute throughout all stages of the software development lifecycle.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Perform root cause analysis and implement appropriate corrective actions.

Required Skills

• Advanced SQL – Strong hands-on expertise is mandatory.
• Python Development
• ETL Development and Data Integration
• Snowflake
• Apache Airflow
• AWS Services, particularly Amazon S3
• AWS Connection Management
• Data Warehouse Architecture
• Data Modeling (Facts & Dimensions)
• Slowly Changing Dimensions (SCD)
• SQL Query Optimization and Performance Tuning
• Data Analysis and Reconciliation
• Troubleshooting and Root Cause Analysis
• Agile Development Methodologies
• Strong understanding of the Software Development Life Cycle (SDLC)

Experience & Qualifications

• 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
• Strong professional experience in advanced SQL and Python.
• Hands-on experience with Snowflake, Apache Airflow, and AWS.
• Proven experience designing and developing data warehouse solutions.
• Experience working across the complete product development lifecycle.
• Ability to independently troubleshoot complex technical challenges.

Additional Requirements

• Immediate joiners preferred.
• Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
• Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in an Agile environment.

We are looking for a talented .NET Software Engineer to join our growing team and help us build smart, scalable technology solutions that streamline and automate complex business operations. In this role, you’ll work in a collaborative, agile environment where continuous improvement, ownership, and innovation are part of our everyday culture.

If you enjoy solving real business challenges through clean architecture and high-quality code, this is an opportunity to make a direct impact on the performance and efficiency of the systems our clients rely on. Join us and help shape the technology behind smarter, better-optimized workflows.

What You’ll Be Doing:

• Develop, integrate, and test complex enterprise-level applications that support critical business processes.
• Collaborate with developers, architects, and product teams to refine requirements and translate them into scalable technical solutions.
• Troubleshoot and enhance system architecture, identifying and resolving performance or reliability bottlenecks.
• Implement and advocate for best practices in coding standards, system design, testing, security, and maintainability.
• Review code and pull requests to ensure alignment with specifications and overall product quality.
• Participate in agile ceremonies, manage deliverables, and consistently meet development timelines.

What We’re Looking For:

• Proven proficiency in C#/.NET and experience building enterprise applications.
• Strong hands-on experience with MySQL, SQL databases, and advanced querying techniques.
• Familiarity with Angular or other modern front-end frameworks (nice to have).
• Solid understanding of version control, CI/CD pipelines, automated testing, and agile development tools such as Git and Jira.
• Experience working with finance or accounting systems is a strong advantage.
• Ability to write clean, maintainable, and well-documented code with a focus on performance and scalability.
• Strong written and verbal communication skills in English (upper-intermediate level or higher).
• A proactive, resourceful, and solution-oriented mindset — someone who takes ownership and delivers results.
• A degree in Computer Science, Software Engineering, or a related field is a plus.

Automation Anywhere Developer

Experience: 4–7 Years

Work Mode: Remote

Ctc-6-8 lpa

Duration: 2 months + Extension

Type: Contract

Payroll: Candidates will be on your payroll

Job Summary

We are looking for an experienced Automation Anywhere Developer with 4–7 years of experience in Robotic Process Automation (RPA) to design, develop, implement, and maintain automation solutions. The ideal candidate should have strong hands-on experience with Automation Anywhere, process automation, bot development, and troubleshooting.

Key Responsibilities

- Design, develop, test, and deploy RPA bots using Automation Anywhere.

- Analyze business processes and identify opportunities for automation.

- Develop reusable, scalable, and efficient automation workflows.

- Work with business stakeholders to gather requirements and prepare technical documentation.

- Integrate RPA solutions with enterprise applications, databases, APIs, web applications, and Excel.

- Monitor bot performance, troubleshoot issues, and implement enhancements.

- Follow automation development standards, security guidelines, and best practices.

- Collaborate with business analysts, QA teams, and other developers to ensure successful delivery.

Required Skills

- 4–7 years of hands-on experience in RPA development.

- Strong expertise in Automation Anywhere, preferably Automation 360.

- Experience in bot development, debugging, exception handling, and scheduling.

- Knowledge of Excel automation, database operations, and application integration.

- Experience with REST APIs, SQL, web applications, and Windows-based applications.

- Understanding of queues, credential management, reusable components, and bot deployment.

- Strong analytical, problem-solving, and communication skills.

Preferred Skills

- Experience with enterprise-scale RPA implementations.

- Knowledge of Control Room administration and bot lifecycle management.

- Experience with version control, production support, and automation documentation.

- Exposure to Agile development methodologies

Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets

2

Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.

3

Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis

4

Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.

5

Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows

6

Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation

7

Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.

8

Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.

9

Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture

10

Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.

11

Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.

12

Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

13

Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

Laravel Developer – Education ERP

Experience: 2 years

Work Mode: Permanent Work From Home

Job Summary

We are looking for an experienced Laravel Developer with strong expertise in Core PHP, Laravel, and MySQL to develop, maintain, and optimize scalable Education ERP applications.

Key Responsibilities

• Develop and maintain ERP modules such as HRMS, Admissions, Fees, Examinations, LMS, Inventory, and Finance.
• Write clean, secure, and efficient code using Laravel and Core PHP.
• Design and optimize MySQL databases, complex SQL queries, and bulk data processing.
• Develop and integrate REST APIs and third-party services.
• Troubleshoot bugs and optimize application performance.
• Collaborate with the team to deliver scalable and reliable ERP solutions.

Required Skills

• Strong knowledge of Laravel, Core PHP, and MySQL.
• Experience with MVC architecture, Eloquent ORM, CRUD operations, and REST APIs.
• Good understanding of SQL joins, database optimization, HTML, CSS, JavaScript, and jQuery.
• Familiarity with Git/GitHub and web application security.

Preferred Experience

• Experience developing Education ERP or university management software.
• Knowledge of HRMS, Fees, Admissions, Examinations, and LMS modules.
• Experience handling large datasets and enterprise applications.

I’m a Google Cloud Data Engineer with 5+ years of experience in data engineering, ETL, and cloud data solutions. I specialize in BigQuery, Dataform, Cloud Composer (Airflow), SQL, and CI/CD automation.

I have hands-on experience building reusable Dataform frameworks, developing and orchestrating data pipelines, supporting cloud platform upgrades, implementing secure IAM access, and optimizing data transformation workflows. I’ve also worked on AI-assisted SQLX code generation to improve developer productivity and standardize development.

I’m passionate about building scalable, reliable, and efficient data solutions. I’m looking for opportunities where I can contribute my GCP expertise, solve real-world data challenges, collaborate with talented teams, and continue growing as a Data Engineer.

Core skills: Google Cloud Platform (GCP) | BigQuery | Dataform | Cloud Composer | Apache Airflow | SQL | Python | ETL | CI/CD | GitHub Actions | Dataplex

We are hiring on behalf of a partner software company for a fresher Java Developer Intern. The internship is up to 12 months, with a possible transition to a full-time Java Developer role based on performance.

IMPORTANT – Location rule: This is a remote role, but it is open only to candidates who are currently living in Hyderabad, India. Applicants not currently residing in Hyderabad will not be considered.

Eligibility: 2023, 2024, and 2025 graduates (B.Tech / B.E / MCA / M.Sc / B.Sc). Experience: 0 years (freshers).

Required skills: Core Java, OOP, SQL and relational databases, strong logical reasoning and problem solving. Spring Boot / REST APIs is a plus.

What you'll do: Work on real Java backend projects, databases and APIs.

Next step: Shortlisted applicants will take an online assessment on Ziro: https://ziro.digital/jobs/p/java-developer-intern-fresher-3d96e2

Junior PHP/Laravel Developer – Education ERP

Experience: 1.5–3 Years

Employment Type: Full-Time

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

Job Description: Informatica IDMC & Snowflake Developer

Experience: 6+ Years

Required Skills: Informatica IDMC, ETL, Data Warehousing, Snowflake, SQL

Contract Duration: 2 months

Required Technical Skills

• Informatica: Strong hands-on experience with Informatica IDMC, Cloud Data Integration (CDI), Cloud Application Integration (CAI), Mass Ingestion (MI).
• ETL / ELT: Strong understanding of ETL architecture, data integration patterns, incremental loading, and error-handling strategies.
• Data Warehousing: Good understanding of dimensional modelling, data marts, fact and dimension tables, and data warehouse design principles.
• Snowflake: Hands-on experience with Snowflake architecture, SQL, data loading, transformations, performance tuning, and warehouse optimization.
• SQL: Strong proficiency in complex SQL queries, analytical functions, views, stored procedures, and query optimization.
• Database Development: Experience creating and maintaining database objects, validating data, reconciling datasets, and troubleshooting performance issues.

Candidate Profile

• 6+ years of hands-on experience in ETL/ELT development and data integration along with IDMC, Snowflake, Data Warehousing and SQL.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently, manage priorities, and collaborate effectively with cross-functional teams.
• Proven ability to deliver high-quality, scalable, and maintainable data solutions in an Agile Environment.

Immediate Joining

We are looking for a Dedicated Resource on Contract for –

Role: Data Engineer

Experience: 5+ Years

Location: Remote

Duration: 3+ Months

Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.

Good knowledge of AI tools such as Claude.

Experience with ETL tools like Alteryx is good to have.

Power BI experience is good to have.

Strong communication skills.

Role Description This is a full-time remote role for a Salesforce Business Analyst. The Salesforce Business Analyst will work closely with stakeholders to gather, analyze, and document business requirements and translate them into effective Salesforce solutions. Day-to-day responsibilities include mapping and optimizing business processes, configuring Salesforce features with administrators, and supporting integrations with other enterprise systems. The role involves creating user stories, functional specifications, and documentation, as well as coordinating testing, training, and user adoption activities. The Salesforce Business Analyst will collaborate with cross-functional teams to ensure solutions align with business goals and deliver measurable outcomes.

Qualifications

• Strong Salesforce.com Administration skills, including configuration, user management, and security settings.
• Demonstrated Business Analysis experience with business requirements gathering, documentation, and stakeholder communication.
• Solid Analytical Skills for evaluating processes, data, and system performance to recommend improvements.
• Experience with Business Process mapping, optimization, and translating workflows into Salesforce solutions.
• Familiarity with Salesforce best practices, standard objects, and automation tools (e.g., Flow, Validation Rules, Reports and Dashboards).
• Ability to work effectively in a remote, collaborative environment with cross-functional and global teams.
• Strong written and verbal communication skills and the ability to present complex ideas in a clear, structured manner.
• Salesforce certifications (e.g., Admin, Business Analyst) are an advantage.

Data Engineer – Contract Opportunity

We are looking for an experienced Data Engineer with 5+ years of experience to work on subscriber activation, churn, FTE, and future reporting requirements.

Key Responsibilities:

• Work on data requirements related to Subscriber Activation, Churn, FTE, and future reporting.
• Work with BigQuery as the centralized data warehouse.
• Develop and maintain data ingestion and integration pipelines across multiple source systems.
• Design and implement ETL/ELT processes.
• Develop data models for reporting and analytics.
• Integrate BigQuery with Power BI or similar reporting tools.

Required Skills:

• Strong hands-on experience with GCP & BigQuery
• Data warehouse architecture, design, and implementation
• Data ingestion/integration across multiple source systems
• ETL/ELT and data pipeline development
• Data modelling for reporting and analytics
• Experience integrating BigQuery with Power BI or similar reporting tools

Contract: 1 month initially, with potential extension

Compensation: ₹6–7 LPA

Work Mode: Remote

Important

Since this is only a 1-month contract, mention “Potential extension” rather than saying it will definitely be extended.

**Please apply directly through our careers page**

Who We're Looking For

We are looking for engineers who share our passion for technology and rise to meet hard technical challenges. Individual contributors who thrive in a collaborative culture and a strong technical environment — self-starting, dynamic, and quick to pick up new technologies in order to deliver working solutions with minimal direction.

This is a backend-heavy full-stack role: you should be an engineer who is at home in distributed, server-side systems first, with the range to also work competently across the stack when a feature calls for it.

What You'll Do

We are seeking a Full-Stack Software Engineer to work closely with the architecture team on enhancements to Provenir's cloud-native, microservices-based decisioning engine (rules/graph-based execution).

This role requires deep, hands-on backend expertise and extends into full ownership of features end to end — from service design through UI integration and deployment.

• Design, build, and evolve microservices for Provenir's decisioning engine using Core Java and Spring Boot.

• Design and implement synchronous and asynchronous REST APIs that power decisioning workflows across the platform.

• Apply multi-threading and performance-tuning techniques to keep high-throughput decisioning services fast and reliable at scale.

• Build and maintain event-driven integrations using Kafka and ActiveMQ (or equivalent message queuing technologies) to support distributed, asynchronous processing.

• Model and manage data across relational and NoSQL stores (MySQL, MongoDB) using ORM tools such as Hibernate, Ebeans, or OpenJPA.

• Practice test-driven development, writing and maintaining unit tests as a core part of the delivery process.

• Containerize and deploy services with Docker and Kubernetes, working within a single-region, multi-AZ

AWS deployment architecture, and contribute to CI/CD pipelines (Git, GitHub Actions, Jenkins, Terraform, Datadog).

• Own features across the full SDLC — design, testing, implementation, deployment, and maintenance — in partnership with the architecture team.

• Build and maintain Angular or React or any frontend framework components and modules that surface decisioning workflows and configuration screens, integrating cleanly with backend REST APIs.

• Contribute to responsive UI work using TypeScript, HTML5/CSS3, and frameworks such as Material-UI, Bootstrap, or Tailwind.

What's Required

Experience & Education

• Minimum of 5 years of professional software development experience — this is a firm minimum for the role.

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.

• Minimum 5+ years of hands-on experience with Core Java, Spring Boot, Angular or React or any frontend framework, AWS, multi-threading, and performance tuning.

• Proven experience designing, building, and deploying microservices architectures in cloud environments.

• 4+ years designing and developing synchronous and asynchronous REST web services.

• Experience with message queuing technologies such as Kafka, ActiveMQ, or equivalent.

• 4+ years working with ORM tools (Hibernate, Ebeans, or OpenJPA) across relational and NoSQL databases (MySQL, MongoDB).

• 4+ years of test-driven development and unit testing practice.

• Solid grounding in OOA/OOD and design patterns — knowing where, why, and how to apply them.

• Hands-on experience with AWS, containerization and orchestration (Docker, Kubernetes), and CI/CD tooling (Git, GitHub Actions, Jenkins, Terraform, Datadog).

Full-Stack / Frontend Exposure

• Working knowledge of Angular or React or any frontend framework, with hands-on experience integrating front-end applications with backend REST services.

• Practical, hands-on experience with HTML5, CSS3, and responsive UI frameworks such as Material-UI, Bootstrap, or Tailwind.

Nice to Have

• Experience with Scrum/Agile development methodologies.

• Unix/Linux operating system knowledge.

• Broader exposure to event-driven and distributed system design beyond core messaging integration.

• Exposure to systems supporting ML/DL/AI model training, testing, or execution within a production product stack.

Why You Should Join Us

Our employees are empowered to be curious, forward-thinking engineers. We ask them to explore the uncharted and build the unimagined — that's what makes Provenir unique.

We offer comprehensive health and wellness plans. You'll enjoy paid time off and company holidays, flexible and remote-friendly options, along with benefits to plan for your future.

At Provenir, you'll be part of a dynamic, growing team that prides itself on building highly innovative, adaptable, and configurable software solutions, in a collaborative culture and strong technical environment.

To learn more,

visit www.provenir.com.

Equal Opportunity

Provenir is an Equal Opportunity Employer. We recognize that diversity and inclusion make our teams stronger,

and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, national

origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status,

citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level

2+ years of experience in SQL, Python, and Snowflake (or equivalent cloud data warehouse), Azure Cloud services.

Role Overview

If you're a Data Craftsperson who takes pride in clean, well-tested data solutions and believes in the principles of Extreme Programming, we'd love to meet you. At Incubyte, we're a DevOps organization where developers own the entire release cycle — you'll get hands-on experience across data engineering, analytics, cloud infrastructure, and direct client communication. This role sits primarily in data engineering (80%) with a meaningful analytics component (20%), supporting our client's data systems end-to-end.

What You'll Do

• Design, build, and maintain data pipelines and infrastructure using SQL and Python
• Work within Snowflake to build and optimize data models supporting business use cases
• Parse and process structured and semi-structured data (JSON, XML) from varied sources
• Diagnose issues across raw, intermediate, and summary tables
• Build SQL queries to support repeatable analytics use cases based on stakeholder requirements
• Investigate and resolve data quality issues, including time-sensitive or urgent ones
• Identify opportunities to consolidate models and maintain a single source of truth (SSOT)

Requirements

What We're Looking For

• 2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)
• 2+ years of experience with Python for data engineering tasks (required)
• Experience with Snowflake or an equivalent cloud data warehouse (required)
• Experience working with Snowflake Coco or any other AI tools(required) 
• Experience parsing JSON and XML data (a plus)
• A strong eye for data quality and attention to detail
• Knowledge of Git (required)
• Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)
• Knowledge of data infrastructure/modeling tools like DBT, Fivetran (a plus)
• Experience with BI tools like Power BI(a plus, not core to this role)
• Knowledge of Docker, Linux, Shell/Bash, and virtualization technologies (a plus)
• Knowledge of SSIS packages (a plus)
• Familiarity with CI/CD methodologies

Benefits

Life at Incubyte  

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered. 

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion. 

Perks

• Dedicated learning & development budget. 
• Sponsorship for conference talks. 
• Comprehensive medical & term insurance.
• Employee-friendly leave policies. 
• Home Office fund 
• Medical Insurance

Job Title : UiPath Test Automation Engineer

Experience : 3 to 6 Years

Location : Remote | 5 Days Working

Positions : 5

Joining Bonus : Up to 20% of monthly salary, capped at ₹1 lakh, for eligible candidates joining within 10–15 days.

Job Summary :

We are looking for a UiPath Test Automation Engineer with strong experience in QA, test automation, and UiPath Test Suite to design, develop, and execute automated testing solutions for enterprise SaaS / ERP applications.

The ideal candidate should have hands-on experience with UiPath Studio, Test Manager, and Orchestrator, along with strong testing exposure to Workday and Coupa applications. The role will involve functional, API, regression, and automation testing while collaborating with development, business, and QA teams.

Key Responsibilities :

• Design, develop, and maintain automated test cases using UiPath Test Suite.
• Work extensively with UiPath Studio, Test Manager, and Orchestrator.
• Perform functional, regression, integration, and API testing for enterprise applications.
• Automate testing scenarios across Workday HCM, including Compensation, Talent, and Performance modules.
• Test Coupa business processes including Procurement/P2P, Sourcing, Invoicing, and Supplier Management.
• Create and maintain reusable test automation components and frameworks.
• Perform API testing using Postman and validate REST APIs.
• Write and execute SQL queries for backend/database validation.
• Integrate automated testing into CI/CD pipelines and support continuous testing practices.
• Analyze test results, identify defects, and work closely with development teams for resolution.
• Maintain test documentation, execution reports, and automation assets.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective test scenarios.

Mandatory Skills :

UiPath Test Suite, UiPath Studio, UiPath Test Manager, UiPath Orchestrator, Workday HCM, Coupa, Functional Testing, API Testing, Regression Testing, Postman, REST APIs, SQL, CI/CD, Test Automation, Enterprise SaaS/ERP Testing.

Must-Have Requirements :

• 3+ years of experience in QA / Test Automation.
• 2+ years of hands-on experience with UiPath Test Suite.
• Strong hands-on experience with UiPath Studio, Test Manager, and Orchestrator.
• Proven experience in testing/automating enterprise SaaS or ERP applications.
• Strong testing experience with Workday and Coupa.
• Hands-on experience in API testing using Postman/REST APIs.
• Good working knowledge of SQL for data validation.
• Experience with CI/CD and test automation practices.
• Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.

Good to Have :

• Experience building reusable UiPath automation frameworks / components.
• Experience integrating UiPath automation with CI/CD tools.
• Knowledge of enterprise HR, procurement, finance, or ERP business processes.
• Experience working in Agile/Scrum environments.

Senior / Staff Software Engineer – Backend Engineering

Experience: 7+ years

Location: India

Role Type: Individual Contributor | Hands-on Engineering

About the Role

Oddr is looking for a deeply hands-on Senior / Staff Software Engineer who combines strong backend engineering fundamentals with an AI-first way of building software.

This is not a traditional development role where AI is used only for code completion. We are looking for engineers who can understand a problem, design the right solution, define architectural and security guardrails, and then use AI aggressively to accelerate implementation without compromising quality.

You will be expected to code regularly, own solutions end-to-end, build POCs, drive technical design, review critical code, and help raise the engineering bar across the team.

This is not a people-management role.

What You’ll Do

• Design and build scalable, secure backend systems using C# / .NET.
• Own features from problem definition and architecture through coding and production delivery.
• Use AI coding tools such as Claude Code, Codex, Cursor or GitHub Copilot to accelerate development.
• Define the right context, constraints, tests and guardrails around AI-generated code.
• Build POCs and evaluate technical approaches before scaling them into production.
• Drive system design, API design, data modelling and integration decisions.
• Review code for correctness, security, performance and maintainability.
• Build automated tests, observability and validation into the development lifecycle.
• Mentor engineers through technical reviews, pairing and architecture discussions.
• Identify opportunities to create reusable engineering patterns, automation, agents or developer tooling.

What We’re Looking For

• 7+ years of software engineering experience building production systems.
• Strong hands-on expertise in C# and .NET / .NET Core.
• Strong system design and architecture skills.
• Experience with distributed systems, APIs, databases, asynchronous processing and cloud-native applications.
• Good understanding of Azure, CI/CD, containers and modern software delivery practices.
• Strong debugging and problem-solving skills.
• Experience using AI coding tools as a meaningful part of day-to-day software engineering.
• Ability to critically review AI-generated code and identify architectural, security or quality issues.
• Strong understanding of software design, testing and engineering best practices.

Nice to Have

• Experience with React / TypeScript.
• Experience in legal-tech, fintech, billing, payments or enterprise SaaS.
• Exposure to AI agents, RAG, MCP or LLM-powered applications.
• Experience building reusable engineering platforms, tooling or automation.
• Familiarity with SOC 2, ISO 27001 or other security/compliance environments.

What Great Looks Like

You can take a complex problem from:

Problem → Design → POC → Architecture → Code → Validation → Production

You know when to rely on engineering judgment, when to challenge the AI, and when to use AI to dramatically accelerate execution.

At Oddr, we are looking for engineers who can think deeply, build quickly and ship safely.

Roles & Responsibilities

1. Design, develop, and maintain automated test scripts using UiPath Studio (Testing Profile) for Workday and Coupa applications
2. Build and execute regression test suites covering Workday HCM core, Talent & Performance Management, Advanced Compensation, Payroll/Benefits, and Recruiting modules
3. Build and execute regression and functional test suites for Coupa modules including Procurement (P2P), Sourcing, Invoicing, and Supplier Management
4. Validate business-critical configurations and custom workflows before and after Workday's bi-annual releases (Release Assessment / Feature Impact Testing)
5. Use UiPath Test Manager for test case management, requirement traceability, and execution reporting
6. Configure and schedule test executions via UiPath Orchestrator, including unattended and scheduled test sets
7. Perform functional, integration, and regression testing across UI and API layers for both applications
8. Log, track, and manage defects to closure; collaborate with functional/HRIS, procurement, and development teams to reproduce and resolve issues
9. Integrate automated test suites into CI/CD pipelines where applicable
10. Maintain test data, environment readiness, and reusable object/component libraries

Ideal Candidate

1. Strong Test Automation Engineer Profile with UiPath Test Suite expertise for Workday & Coupa.
2. Mandatory (Experience 1): Must have 3+ years of overall QA / test automation experience, with at least 2+ years hands-on on UiPath Test Suite (Studio – Testing Profile, Test Manager, Orchestrator)
3. Mandatory (Experience 2): Must have hands-on experience designing, developing, and maintaining automated test scripts using UiPath Studio (Testing Profile) for enterprise SaaS/ERP applications.
4. Mandatory (Experience 3): Must have experience building and maintaining automated regression suites for enterprise SaaS/ERP applications, covering functional, integration, and regression testing across UI and API layers.
5. Mandatory (Experience 4): Must have experience using UiPath Test Manager (test case management, requirement traceability, execution reporting) and UiPath Orchestrator (configuring/scheduling test sets, unattended execution)
6. Mandatory (Experience 5): Must have experience logging, tracking, and managing defects to closure, and maintaining test data, environment readiness, and reusable object/component libraries.
7. Mandatory (Tech skill 1): Must have working knowledge of Workday functional areas — HCM core, Compensation (including Advanced Compensation), Talent & Performance — sufficient to design meaningful test scenarios
8. Mandatory (Tech skill 2): Must have working knowledge of Coupa modules — Requisitioning / Procurement (P2P), Purchase Orders, Invoicing, Sourcing, or Supplier Management.
9. Mandatory (Tech skill 3): Must have basic API testing skills (Postman / REST) and SQL for data validation.
10. Mandatory (Communication): Must have good communication skills to work with cross-functional HRIS, procurement, and IT teams
11. Mandatory (Note): Candidates able to join within 10–15 days will be eligible for a joining bonus of up to 20% of their monthly salary, subject to a maximum payout of ₹1,00,000. The bonus will be credited along with the first month's salary
12. Preferred: Experience validating configurations before/after Workday's bi-annual releases (Release Assessment / Feature Impact Testing); integrating automated test suites into CI/CD pipelines.

Additional Information

1. Remote role
2. Domain: Enterprise Applications QA – Workday & Coupa
3. Primary Tool: UiPath Test Suite (Studio – Testing Profile, Test Manager, Orchestrator, Test Robots)

Job Details:

We are seeking an experienced Full Stack .NET Developer with Azure to join our dynamic team. The ideal candidate will have a robust background in full stack development with expertise in Azure, React, Node.js, C#, .NET, Python (FastAPI/Flask), Terraform, and CI/CD pipelines. You will play a key role in developing, optimizing, and deploying scalable applications on Azure, ensuring high performance, security, and reliability.

This role will involve collaboration across teams, working on both frontend and backend solutions, and utilizing cloud technologies to drive project success.

Key Responsibilities:

• Design, develop, and maintain full stack applications using Azure, React, Node.js, C#, .NET, and Python (FastAPI/Flask APIs).
• Develop and integrate RESTful APIs using .NET and Python frameworks (FastAPI/Flask).
• Build and manage CI/CD pipelines to streamline deployment and automate testing processes.
• Develop infrastructure as code (IaC) with Terraform to manage and provision resources in the Azure environment.
• Ensure application scalability, security, and performance across all layers of the stack.
• Work closely with cross-functional teams to translate business requirements into technical specifications.
• Troubleshoot, debug, and enhance existing applications to optimize performance.
• Implement best practices for cloud security, data protection, and compliance within Azure services.
• Conduct code reviews and provide technical mentorship to junior developers as needed.

Required Skills & Qualifications:

Experience: 7-10 years of full stack development experience, with a strong focus on Azure cloud.

Frontend:

• Proficient with React.js, building and optimizing web interfaces.

Backend:

• Solid knowledge of Node.js, C#, and .NET for building robust backend applications.
• Hands-on experience in Python development, specifically building APIs using FastAPI and/or Flask.
• Strong understanding of RESTful API design and microservices architecture.

Cloud Infrastructure:

• Experience with Azure services, deployment, and scaling applications on Azure.

Infrastructure as Code (IaC):

• Hands-on experience with Terraform for Azure resource management.

CI/CD:

• Proficient in setting up and maintaining CI/CD pipelines using Azure DevOps or similar tools.

Database:

• Familiarity with Azure SQL, Cosmos DB, or other databases for full stack applications.

Best Practices:

• Strong understanding of software development best practices, including security, testing, and DevOps.

Founding Full-Stack Engineer / Technical Lead — X.re

We are building X.re — an AI-first CRM built specifically for real estate companies.

X.re is not another generic CRM. It is being designed around the real estate sales funnel, with AI-powered WhatsApp conversations, AI voice, lead scoring, workflow automation and advertising intelligence built into the system.

The product is already being built and is currently being tested with a real estate pilot client.

We are now looking for a senior engineer who can take ownership of the existing codebase and help take it from AI-assisted development into a robust, production-ready SaaS product.

What you'll be doing

• Take ownership of an existing Next.js + TypeScript codebase.
• Understand the existing architecture, database structure, APIs and application flows.
• Conduct a thorough engineering review and identify production, security, scalability and reliability risks.
• Refactor and improve the code where required rather than blindly rewriting the system.
• Build and maintain production-quality frontend and backend features.
• Design and maintain APIs, database models and integrations.
• Work on a multi-tenant SaaS architecture where each real estate brand has its own workspace and data isolation.
• Work closely with AI/LLM-powered features including chat, voice and lead intelligence.
• Work on WhatsApp Business API integrations, webhooks and messaging infrastructure.
• Build reliable automation and workflow functionality.
• Implement proper authentication, authorization, data isolation, logging, monitoring and error handling.
• Help establish engineering standards, testing and deployment practices.
• Eventually build and lead the engineering team as X.re scales.

What we're looking for

We are looking for someone who has strong engineering judgment, not someone who simply knows a list of technologies.

You should be able to:

• Enter an unfamiliar codebase and understand it quickly.
• Identify what is well designed and what is technically risky.
• Take an MVP and turn it into production-grade software.
• Make pragmatic architectural decisions.
• Think about security, scalability, reliability and maintainability.
• Work independently and take ownership.
• Read and review code generated or assisted by AI.
• Know when AI-generated code is acceptable and when it needs to be redesigned.
• Build rather than just manage developers.

Technical requirements

Strong experience with:

• TypeScript
• Next.js / React
• Node.js
• REST APIs
• PostgreSQL / SQL
• Modern SaaS application architecture
• Cloud deployment
• Git and production development workflows

Experience with the following is a strong advantage:

• AI/LLM applications
• WhatsApp Business API
• Webhooks
• Multi-tenant SaaS
• API integrations
• Docker
• AWS or similar cloud platforms
• CI/CD
• Observability and production monitoring

One important thing

This is not a greenfield project.

The existing product has been built significantly with AI-assisted development.

We are specifically looking for an engineer who is comfortable inheriting an existing codebase, understanding it deeply, challenging its assumptions, fixing what needs fixing, and taking responsibility for making it production-ready.

You will not be expected to rewrite everything just because it wasn't originally written by you.

Why this role is different

You won't just be implementing tickets.

You'll have significant influence over:

• Engineering architecture
• Production readiness
• Technical standards
• Infrastructure
• AI integration strategy
• Product engineering decisions
• Future engineering team structure

If things go well, this role can grow into Head of Engineering / CTO-level ownership as X.re scales.

Location

Hyderabad preferred. Remote candidates across India may be considered for the right candidate.

Compensation

₹20–35 LPA + ESOP

Compensation will depend on experience and level of ownership.

Role Overview

We are looking for a GCP Data Engineer with 10+ years of experience to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and advanced SQL, with experience building data pipelines and working with large-scale datasets.

Key Responsibilities

• Design and develop scalable data pipelines and ETL/ELT processes on GCP.
• Build, optimize, and maintain data solutions using Google BigQuery.
• Develop complex SQL queries for data transformation, aggregation, and analysis.
• Design efficient data models and optimize pipelines for performance, scalability, and cost.
• Integrate data from multiple sources and ensure data quality, reliability, and availability.
• Troubleshoot pipeline and data issues and drive continuous improvement.
• Collaborate with data architects, analysts, application teams, and business stakeholders.
• Follow best practices for cloud security, data governance, testing, and documentation.

Required Skills

• 8+ years of Data Engineering experience
• Strong hands-on experience with GCP, Django, and MongoDB
• Extensive experience with BigQuery
• Advanced SQL skills
• Strong understanding of ETL/ELT and data pipeline development
• Data modeling and data warehousing experience
• Experience handling large-scale datasets and performance optimization
• Strong problem-solving and communication skills

Good to Have

• GCP services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, or Cloud Functions
• Python or other data engineering languages
• Experience with data governance and security
• Agile development experience

Quality Assurance Engineer

Location: Remote

Experience: 9–12 Years

Notice Period: Immediate Joiner only

JD:

API Testing: Postman/Swagger

Test Management & Defect Tracking: Jira, Test Director, TFS, Quality Center

Database Testing: SQL (Query Writing & Validation)

Domain Knowledge: US Healthcare Systems, HIPAA, HL7

Methodology: Agile (Scrum)

🚀Job Title : Senior Backend Engineer (Java / Golang) SDE 3

Experience : 5 to 12 Years

Positions : 4

Employment Type : C2H (Contract to Hire)

Contract Duration : 3 Months

Location : Remote during contract → Pune after conversion

Work Mode After Conversion : 5 Days WFO

Notice Period : Immediate / Serving Notice / Up to 15 Days preferred

Mandatory Skills : Golang (1+ year mandatory), 5+ years Backend Development, System Design, Distributed Systems, Microservices, REST / GraphQL APIs, Event-Driven Architecture, SQL & NoSQL Databases, AWS / GCP / Azure, Strong Problem-Solving & Communication Skills.

About the Role :

We are looking for an experienced Backend Engineer / SDE 3 with strong expertise in Java / Golang to design and build scalable, secure, and high-performance backend services and APIs.

The role involves hands-on coding, system design, microservices, distributed systems, and collaboration with engineering and infrastructure teams.

Must-Have Skills :

• 5+ years of backend development experience.
• Strong hands-on experience with Golang.
• Minimum 1+ year of Golang experience is mandatory.
• Strong understanding of System Design & Distributed Systems.
• Experience with REST / GraphQL APIs.
• Experience with Microservices and Event-Driven Architecture.
• Experience with Event Queues / Asynchronous Processing.
• Strong knowledge of Relational and NoSQL databases.
• Familiarity with AWS, GCP, or Azure.
• Strong communication and problem-solving skills.

Important Note for Java Candidates :

Java candidates can be considered only if they have at least 1+ year of hands-on Golang experience and are willing to work in Golang.

Candidates with less than 1 year of Golang experience will not be considered.

Good to Have :

• Experience in Fintech / Payments / Transaction-heavy systems
• Docker & Kubernetes
• Datadog / Prometheus / Grafana
• CI/CD experience
• Exposure to Java or Ruby

Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build reliable, secure, and high-performance microservices and APIs.
• Implement event-driven and asynchronous processing systems.
• Work on system architecture, scalability, performance, and reliability.
• Participate in system design, code reviews, and technical discussions.
• Collaborate with mobile, web, and infrastructure teams.
• Develop unit, integration, and performance tests.
• Contribute to CI/CD, observability, documentation, and engineering best practices.

Interview Process :

Round 1 : Take-Home Coding Assessment – Submission within 48 hours

Round 2 : Code Pairing – Problem Extension

Round 3 : Culture Fitment

About the Role

Octalbees is looking for a MERN Stack Developer Intern to join our development team and work on practical, industry-oriented web development projects.

What You'll Work On

• Build and improve web applications using MongoDB, Express.js, React.js, and Node.js
• Develop responsive and user-friendly frontend interfaces
• Build and integrate REST APIs
• Work with databases, authentication, and backend services
• Debug, test, and optimize applications
• Collaborate with the team and follow professional development workflows
• Contribute to real-world projects and features

What We're Looking For

• Basic to good understanding of the MERN stack
• Knowledge of JavaScript, React.js, Node.js, Express.js and MongoDB
• Understanding of REST APIs and Git/GitHub
• Good problem-solving and communication skills
• Willingness to learn, take feedback, and work on practical projects

What You'll Get

• Hands-on experience with industry-oriented projects
• Mentorship and guidance
• Exposure to professional development workflows
• Internship certificate and project experience
• Performance-based stipend from the second month for eligible interns
• PPO opportunity for candidates who demonstrate strong performance and contribution

Internship Details

• Mode: Remote
• Type: Internship
• Commitment: Part-time / flexible
• Candidates who perform well may have opportunities for continued engagement with Octalbees.

Important: Stipend and PPO are performance-based and are not guaranteed for every intern.

To Apply: Submit your application through Wellfound with your updated resume/GitHub/portfolio.

Role: Full Stack JavaScript/TypeScript Developer

We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.

Responsibilities:

Core Skills & Competencies (Must have):

• Strong proficiency in TypeScript and solid JavaScript fundamentals
• Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
• Expertise in HTML/CSS, with experience creating responsive and adaptive designs
• Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
• Experience with RESTful services and APIs
• Familiarity with AI SDKs, LLM APIs, and vector databases
• Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
• Understanding of database design and management, especially with SQL
• Experience with version control systems such as Git
• 
  

Desired Skills & Competencies (Nice to have):

• Experience with event-driven architecture
• Experience with cloud services like Azure or AWS
• Familiarity with modern DevOps practices
• Understanding of security practices and web application security
• Familiarity with CI/CD pipelines
• 
  

What we're looking for:

• Strong command over JS/TS fundamentals, not just framework-level knowledge
• Candidates with internship experience or a background from a reputed engineering college preferred
• Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)

Job Description – QA & Data Validation Engineer

Experience: 5–6 Years

Location: Pan India

Employment Type: Full-Time

Work Mode: Pan India / Remote or Hybrid as applicable

About the Role

We are looking for an experienced QA & Data Validation Engineer with 5–6 years of hands-on experience in data quality assurance, solution analysis, data validation, SQL, Python, PySpark, Azure Data Factory, Azure Synapse Analytics, and Power BI validation.

The ideal candidate will be responsible for validating large-scale data pipelines, performing source-to-target reconciliation, analyzing business rules, investigating data defects, and ensuring the accuracy, completeness, and consistency of data across source, staging, intermediate, and target systems.

The role requires strong analytical and problem-solving skills along with the ability to work closely with development, data engineering, business, and other stakeholders in an Agile delivery environment.

You will also contribute to the design, development, and maintenance of automated validation frameworks and utilities using Python, SQL, PySpark, Azure Data Factory, and Azure Synapse.

---

Key Responsibilities

1. QA & Solution Analysis

- Analyze business and technical requirements to understand data processing and validation needs.

- Participate in requirement analysis sessions and clarify functional and technical requirements with stakeholders.

- Review solution designs, data flows, mapping documents, interface specifications, and business rules.

- Validate that implemented solutions meet defined business and technical requirements.

- Identify gaps, inconsistencies, ambiguities, and potential data quality issues during requirement and solution analysis.

- Translate business requirements into detailed test scenarios, test cases, and validation conditions.

- Perform end-to-end validation of data processing workflows.

- Ensure data is accurately processed from source systems through intermediate layers to final outputs.

- Validate business rules and transformation logic implemented within data pipelines.

2. Test Planning & Execution

- Prepare comprehensive test strategies, test plans, test scenarios, and test cases for data-intensive applications.

- Execute functional, integration, regression, system, and data validation testing.

- Perform positive and negative testing for different data processing scenarios.

- Validate data pipelines across multiple environments, including staging, testing, and production.

- Identify test data requirements and prepare appropriate datasets for validation.

- Execute SQL queries to validate data processing and transformation results.

- Document test results, observations, defects, and validation evidence.

- Track testing progress and communicate status, risks, issues, and dependencies to stakeholders.

3. Data Validation & Reconciliation

- Perform detailed source-to-target data validation and reconciliation.

- Validate source, intermediate, staging, and output datasets.

- Perform record count validation between source and target systems.

- Verify data completeness, consistency, accuracy, and integrity.

- Validate data transformations against defined business rules.

- Perform field-level and record-level comparisons.

- Validate data types, formats, precision, scale, and null handling.

- Verify schema structure, layout, column names, and column sequence.

- Validate mandatory and optional fields.

- Identify missing, duplicate, truncated, or incorrectly transformed records.

- Analyze invalid records, rejected records, and exception datasets.

- Verify exception and reject-handling mechanisms.

- Compare production and staging data to identify discrepancies.

- Perform reconciliation between files, databases, and reporting layers.

- Validate data across different processing stages and identify the root cause of discrepancies.

4. File & Data Processing Validation

- Validate large-scale datasets across multiple file formats.

- Perform validation of:

 - CSV files

 - Delimited files

 - Fixed-width files

 - Excel files

 - Database tables

 - Structured and semi-structured datasets

- Validate file layouts, headers, delimiters, record formats, and column sequences.

- Verify file-level and record-level counts.

- Analyze source, intermediate, and final output files.

- Validate file-to-database and database-to-file reconciliation.

- Identify incomplete, corrupted, malformed, or invalid records.

- Verify data movement and transformation between different storage locations.

- Validate Azure-to-AWS file transfer processes.

- Ensure transferred files are complete and match the expected source datasets.

---

5. Defect Investigation & Root Cause Analysis

- Investigate data discrepancies and application/data pipeline defects.

- Perform detailed root cause analysis for data quality and validation failures.

- Analyze source data, transformation logic, pipeline execution, database records, and output datasets to identify defects.

- Collaborate with developers and data engineers to resolve identified issues.

- Reproduce defects and provide detailed technical evidence.

- Perform defect impact analysis.

- Conduct retesting and regression testing after defect resolution.

- Monitor recurring data quality issues and recommend preventive solutions.

- Maintain detailed defect documentation and validation results.

---

6. Python Development & Automation

- Develop Python scripts and utilities for data validation and reconciliation.

- Design, develop, and maintain reusable data validation frameworks.

- Automate repetitive data comparison and validation activities.

- Build automated utilities for:

 - Record count validation

 - Data completeness checks

 - Schema validation

 - Column sequence validation

 - Source-to-target comparison

 - Duplicate detection

 - Exception identification

 - Data quality checks

 - Automated reporting

- Develop Python-based validation and reporting utilities.

- Optimize Python scripts for processing large datasets.

- Maintain and enhance existing automation frameworks.

- Implement reusable validation components to improve testing efficiency and coverage.

---

7. SQL Development & Data Analysis

- Write complex SQL queries for data analysis and validation.

- Perform data extraction and comparison using SQL Server / SSMS.

- Validate source and target database records.

- Perform joins, aggregations, subqueries, CTEs, and analytical queries as required.

- Develop SQL queries to identify data mismatches, duplicates, missing records, and transformation issues.

- Validate database tables, schemas, columns, constraints, and relationships.

- Perform record count and reconciliation checks using SQL.

- Analyze SQL Server metrics databases.

- Validate data processing results against expected business rules.

- Troubleshoot data discrepancies using SQL queries.

---

8. PySpark & Large-Scale Data Processing

- Develop and execute PySpark notebooks for large-scale dataset processing and validation.

- Analyze large volumes of structured and semi-structured data.

- Perform data transformation and validation using PySpark.

- Compare large source and target datasets efficiently.

- Implement data quality and reconciliation checks using PySpark.

- Analyze exception, reject, and invalid datasets.

- Optimize data validation processes for large datasets.

- Work with Azure Synapse notebooks and data processing environments.

---

9. Azure Data Factory & Pipeline Testing

- Design and execute validation scenarios for Azure Data Factory (ADF) pipelines.

- Validate pipeline execution, data movement, transformations, and dependencies.

- Monitor pipeline runs and investigate failures.

- Validate source-to-target data movement through ADF.

- Develop and maintain test pipelines using Azure Data Factory.

- Verify pipeline parameters, triggers, activities, and execution results.

- Validate file ingestion and processing workflows.

- Perform end-to-end testing of data pipelines.

- Investigate pipeline-related data discrepancies and failures.

---

10. Azure Synapse Analytics

- Work with Azure Synapse Analytics for data validation and analysis.

- Develop and execute Synapse notebooks using PySpark.

- Validate datasets processed through Synapse pipelines and notebooks.

- Perform data quality and reconciliation checks within Synapse environments.

- Analyze large-scale datasets and processing results.

- Validate data movement between Azure storage, Synapse, databases, and reporting systems.

---

11. Azure Storage & Cosmos DB

- Validate data stored in Azure Storage Accounts and Containers.

- Verify file ingestion, processing, and output data.

- Perform file-level and content-level validation within Azure storage.

- Validate data processing workflows involving Azure Storage.

- Perform data validation in Azure Cosmos DB.

- Verify records, fields, formats, and data completeness within Cosmos DB.

- Investigate discrepancies between source files, Azure storage, databases, and Cosmos DB.

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12. AWS S3 & Azure-to-AWS Validation

- Validate files stored in AWS S3.

- Perform source-to-target validation for files transferred between Azure and AWS.

- Verify file counts, file names, sizes, formats, and record counts.

- Compare source files with transferred S3 files.

- Validate data integrity after cloud-to-cloud file transfers.

- Investigate missing, incomplete, duplicate, or corrupted files.

- Support end-to-end validation of Azure-to-AWS data movement processes.

---

13. Metrics, Reporting & Power BI Validation

- Extract and validate source system metrics.

- Validate metrics stored in SQL Server databases.

- Perform reconciliation between source metrics, database metrics, and reporting outputs.

- Validate Power BI dashboards and reports against underlying source data.

- Verify report calculations, KPIs, measures, filters, and aggregations.

- Perform file-to-database-to-Power BI reconciliation.

- Validate data displayed in Power BI against SQL Server and source datasets.

- Identify discrepancies between backend data and dashboard results.

- Support reporting and analytics teams with data validation and troubleshooting.

---

14. Production Support & Job Monitoring

- Monitor scheduled data processing jobs and pipelines.

- Perform production validation and health checks.

- Analyze production failures and data discrepancies.

- Support incident investigation and resolution.

- Compare production and staging environments to identify differences.

- Validate production data after deployments and pipeline executions.

- Monitor ECG jobs and provide support for job execution and data processing issues.

- Perform post-production validation and reconciliation.

- Communicate critical production issues and risks to relevant stakeholders.

---

15. Agile Delivery & Stakeholder Collaboration

- Work effectively within an Agile/Scrum delivery environment.

- Participate in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

- Collaborate with Business Analysts, Developers, Data Engineers, DevOps teams, Product Owners, and other stakeholders.

- Provide timely updates on testing progress and issues.

- Participate in requirement clarification and solution discussions.

- Support release planning and production deployment activities.

- Track work items and defects using Rally.

- Ensure testing activities are aligned with sprint and release timelines.

---

Required Technical Skills

Mandatory Skills

- 5–6 years of experience in QA / Data Validation / Data Testing / Data Quality Engineering.

- Strong experience in SQL and data analysis.

- Hands-on experience with Python development and automation.

- Experience with PySpark and large-scale data processing.

- Strong experience with Azure Data Factory (ADF).

- Experience with Azure Synapse Analytics / Synapse Pipelines / Notebooks.

- Strong understanding of source-to-target data validation and reconciliation.

- Experience in data completeness, record count, schema, layout, and column validation.

- Experience in defect investigation and root cause analysis.

- Experience validating large datasets and multiple file formats.

- Experience with SQL Server / SSMS.

- Experience with Power BI dashboard/report validation.

- Strong understanding of data pipelines and ETL/ELT processes.

Cloud & Data Platform Experience

- Azure Data Factory

- Azure Synapse Analytics

- Azure Synapse Pipelines

- Azure Synapse Notebooks

- Azure Storage Accounts

- Azure Storage Containers

- Azure Cosmos DB

- Azure Privileged Identity Management (PIM)

- AWS S3

- Azure-to-AWS file transfer validation

---

Preferred Skills

- Experience developing automated data validation frameworks.

- Experience building automated reporting and reconciliation utilities.

- Knowledge of ETL/ELT testing methodologies.

- Experience working with very large datasets.

- Experience in production data validation and support.

- Knowledge of cloud-based data platforms.

- Experience with Power BI data reconciliation.

- Experience working in Agile environments.

- Experience with Rally or similar Agile project management tools.

- Familiarity with Microsoft Copilot and AI-assisted productivity/automation tools.

---

Key Responsibilities at a Glance

The successful candidate will be responsible for:

- Requirement analysis and clarification

- Business rule validation

- Test planning and execution

- Data quality and data validation

- Source-to-target reconciliation

- Record count and completeness validation

- Schema and layout validation

- Column sequence validation

- Exception and reject data analysis

- Production vs. staging comparison

- SQL-based data analysis

- Python automation

- PySpark development

- Azure Data Factory pipeline testing

- Azure Synapse validation

- Azure Storage validation

- Cosmos DB validation

- AWS S3 validation

- Azure-to-AWS file transfer validation

- Power BI dashboard validation

- SQL Server metrics validation

- Automated reporting

- Defect investigation and root cause analysis

- Production job monitoring and support

- Agile delivery and stakeholder collaboration

---

Candidate Profile

We are looking for a detail-oriented, analytical, and technically strong QA/Data Validation professional who can work independently on complex data validation assignments.

The candidate should be comfortable working with large datasets, writing SQL queries, developing Python automation, analyzing PySpark datasets, validating cloud-based data pipelines, and troubleshooting data discrepancies across multiple systems.

Strong communication and stakeholder management skills are essential, as the role requires regular collaboration with technical and business teams.

---

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Experience

5–6 years of relevant professional experience in QA, Data Testing, Data Validation, ETL Testing, Data Quality, Data Engineering QA, or a similar role.

Location

Pan India

Employment Type

Full-Time

Keywords

QA Engineer, Data QA, Data Validation, Data Testing, ETL Testing, Data Quality, SQL, Python, PySpark, Azure Data Factory, ADF, Azure Synapse, Synapse Analytics, Synapse Pipelines, Azure Storage, Cosmos DB, AWS S3, Power BI, SQL Server, SSMS, Data Reconciliation, Source-to-Target Validation, Data Pipeline Testing, ETL QA, Automation Testing, Data Analytics, Root Cause Analysis, Agile, Rally, Cloud Data Testing, Data Engineering QA.

Position: AS/400 Developer

Experience: 6+ Years

Work Mode: Remote

Job Summary

We are looking for an experienced AS/400 Developer with strong hands-on experience in IBM i (AS/400) development. The ideal candidate should have solid expertise in RPG, CL, DDS, DB2/400, and SQL, along with experience in application development, maintenance, troubleshooting, and production support.

Key Responsibilities

* Design, develop, test, and maintain applications on the IBM i (AS/400) platform.

* Develop and maintain programs using RPG/ILE RPG, RPG IV, Free-Form RPG, CL, DDS, and SQL.

* Analyze business requirements and translate them into effective technical solutions.

* Develop, enhance, and maintain application programs, modules, and interfaces.

* Write efficient SQL queries and perform SQL/database performance tuning.

* Work with DB2/400, Query/400, and related IBM i database technologies.

* Troubleshoot, debug, and resolve application and production issues.

* Perform root-cause analysis and implement appropriate fixes.

* Integrate AS/400 applications with external systems using APIs, web services, flat files, and other interfaces.

* Participate in application enhancements, testing, deployment, and maintenance activities.

* Ensure code quality, performance, security, and adherence to development standards.

* Collaborate with functional teams and other technical teams to understand requirements and deliver solutions.

* Prepare and maintain technical documentation as required.

Required Skills

* 6+ years of hands-on experience in AS/400 / IBM i development.

* Strong expertise in RPG IV / ILE RPG / Free-Form RPG.

* Strong knowledge of CL/CLLE, DDS, DB2/400, and SQL.

* Experience with SQL queries, stored procedures, and performance tuning.

* Good understanding of IBM i architecture and application development.

* Experience in debugging and production support.

* Experience working with system interfaces, APIs, web services, and file handling.

* Knowledge of source/version control tools such as Git or SVN is an advantage.

* Strong analytical, problem-solving, and debugging skills.

* Good communication and teamwork skills.

Preferred Qualifications

* Experience working on enterprise-level AS/400 applications.

* Experience with application modernization or integration with modern technologies.

* Ability to work independently in a remote environment.

* Strong understanding of SDLC and software development best practices.

Work Mode

Remote Opportunity

Work collaboratively with other developers and other product teams members to craft production ready features that have Quality built-in from inception

Collaborate with business analysts, product owners to confirm the requirements if they are not clear.

Be comfortable having technical conversations with the wider technology teams in Australia, Manila and India.

Good English communication is must.

Design solution for modules and execute them. Should be able to design and architect solutions with help of diagrams

Good at writing code which is testable, divided into clean and small modules.

Good at using ci-cd tools like

Jenkins, Harness for the purpose of

deploying code changes.

4+ years of proven experience as an Fullstack Developer primarily in javascript background

Must have experience in design and development of automation frameworks such as Javascript, Typescript, Nodejs, reactjs, Nextjs, Graphql, PostgresDB. If not postgres then they should have good amount of experience in working in SQL DB server.

Should be confident running CI/CD pipelines for testing/deploying their work

Exposure to teams with engineering practices including DevOps, high levels of automation and infrastructure as code Excellent communication skills

Greetings from LL Tech Solutions!

We are urgently looking for an experienced GA4 Lead Analyst for a domestic requirement. The ideal candidate should have strong hands-on experience in web analytics, GA4, Universal Analytics, SQL, BigQuery, dashboard development and experimentation.

Job Details

• Experience: 8+ years
• Location: Remote – India
• Shift Timing: 3:30 PM–12:30 AM
• CTC: Up to ₹28 LPA
• Notice Period: Immediate joiners only
• Employment Type: Full-time
• Requirement Type: Domestic/India

Key Responsibilities

• Lead web and digital analytics initiatives using GA4 and Universal Analytics.
• Analyse website and customer-journey data to identify trends and business opportunities.
• Extract, manipulate and analyse large datasets using SQL and BigQuery.
• Design and maintain dashboards using Looker Studio, Tableau, Power BI or similar tools.
• Define KPIs and build scalable reporting and measurement frameworks.
• Conduct A/B tests, validate hypotheses and analyse experiment results.
• Ensure accuracy and consistency across analytics reports and data sources.
• Translate complex data into actionable business recommendations.
• Collaborate with product, marketing, engineering and business teams.
• Present insights and strategic recommendations to senior stakeholders.
• Mentor team members and ensure the timely delivery of analytics projects.

Mandatory Skills

• Strong hands-on experience with GA4 and Universal Analytics.
• Advanced SQL and BigQuery experience.
• Dashboard development using Looker Studio, Tableau or Power BI.
• Strong understanding of web analytics, customer journeys, funnels and conversion tracking.
• Ability to identify trends and convert findings into strategic recommendations.
• Excellent communication and stakeholder-management skills.
• Prior experience leading analytics projects or teams.

Good-to-Have Skills

• Experience with Google Tag Manager and event-tracking frameworks.
• Understanding of hypothesis testing and regression fundamentals.
• Hands-on experience running A/B tests and analysing results.
• Exposure to e-commerce, product or digital marketing analytics.
• Knowledge of data validation, governance and analytics implementation.

Please include your current CTC, expected CTC, notice period and current location while applying.

Software Development Engineer

What you'll do

Be the dedicated engineer for one of our clients. Learn their business, find what to automate, and build it.

Build automations, integrations, and web apps on whatever the client runs business platforms like the Zoho suite, cloud services like Azure, and custom apps where needed.

Work with APIs every day: connect systems, move data, make tools talk to each other.

Own work end to end: hear the problem from the stakeholder, build the solution, ship it, demo it, support it.

Resolve client tickets and bugs fast. Keep their systems and data healthy.

Write things down: clear docs, clear updates, clear commit history.

What we're looking for

2–5 years shipping software that works and being able to read it, debug it, and stand behind it.

Strong with REST APIs and integrations between systems.

Happy working inside business platforms (Zoho, Salesforce, or similar). Much of the leverage in this role lives there, not in custom code.

You can sit in a call with a non-technical client, understand the real problem, and come back with a working solution.

Self-driven. You'll often be the only engineer on a problem.

Why you'll love this role

Full ownership from first call to delivery you run projects, not just a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

Location: Bangalore / Hybrid

Duration: 6 months

Internship type: Full-time

Stipend: ₹20,000 per month

Potential outcome: Full-time opportunity based on performance

About the Role

We are looking for a hands-on Supabase Engineering Intern to help build and strengthen the backend of our SaaS products.

You will work with Supabase not merely as a hosted database, but as a complete backend platform—including PostgreSQL, authentication, Row-Level Security, storage, database functions, migrations, and application integrations.

This is a full-time, six-month internship suited to someone who has already built projects using Supabase and wants experience working on a real multi-tenant production application.

What You Will Work On

• Design and maintain PostgreSQL tables, relationships, indexes, and constraints.
• Implement secure multi-tenant access using Supabase Row-Level Security policies.
• Integrate Supabase Auth with a Next.js and TypeScript application.
• Build backend workflows using database functions, triggers, RPCs, and Edge Functions.
• Manage schema migrations across development and production environments.
• Work with Supabase Storage and implement secure file-access policies.
• Diagnose slow queries and improve database performance.
• Build reliable application APIs and data-access layers.
• Write seed data, automated tests, and technical documentation.
• Help investigate and resolve production database, authentication, and permission issues.
• Review existing implementations for data leakage, incorrect RLS policies, and security risks.

Required Skills

• Practical experience building at least one project using Supabase.
• Good understanding of SQL and relational database fundamentals.
• Familiarity with PostgreSQL tables, joins, indexes, constraints, and transactions.
• Experience with JavaScript or TypeScript.
• Basic experience with Next.js, React, Node.js, or another modern web framework.
• Understanding of authentication and authorization concepts.
• Ability to use Git and GitHub.
• Strong debugging and problem-solving skills.
• Ability to commit full-time for the complete six-month internship.

Good to Have

• Experience implementing Supabase Row-Level Security policies.
• Understanding of multi-tenant SaaS architecture.
• Experience with Supabase Edge Functions, database functions, triggers, or RPCs.
• Familiarity with PostgreSQL query optimization and EXPLAIN ANALYZE.
• Experience managing Supabase migrations through the CLI.
• Knowledge of REST APIs, webhooks, background jobs, or third-party integrations.
• Experience using AI coding tools such as Cursor, Claude Code, or Codex.
• Contributions to open-source projects or independently deployed applications.

Who Should Apply

You may be a good fit if you:

• Have built and deployed a working Supabase application.
• Enjoy backend engineering, databases, and debugging.
• Can explain why you structured your database and access policies in a particular way.
• Are comfortable learning through documentation and experimentation.
• Take ownership instead of waiting for detailed instructions for every task.
• Want meaningful product-engineering experience rather than a certificate-based internship.

What You Will Learn

• How production-grade multi-tenant SaaS applications are designed.
• Secure database access using PostgreSQL Row-Level Security.
• Development-to-production database migration workflows.
• Authentication, authorization, storage, and backend architecture.
• Performance optimization and production debugging.
• How a startup engineering team ships and operates real products.

Application Process

To apply, please share:

1. Your resume.
2. GitHub profile.
3. Links to one or two relevant projects.
4. A short explanation of how you used Supabase in one project.
5. An example of an RLS policy, database function, or Edge Function you have written.
6. Your current location and availability.
7. Confirmation that you can commit full-time for six months.

Important: Tutorial-only projects will not be sufficient. We are looking for candidates who can demonstrate that they understand the database and security decisions made in their projects.

Position: Laravel Developer

Company: Mayura Consultancy Services

Experience: 2 yrs

Location: Bangalore

Skill: HTML, CSS, Bootstrap, JavaScript, Ajax, jQuery, PHP and Laravel

Work Location: Work From Home (WFH)

Website: https://www.mayuraconsultancy.com/careers/mcs-laravel-developer-opening?r=jlp

Requirements:

• Prior experience in Full Stack Development using PHP Laravel.

Perks of Working with MCS:

• Contribute to Innovative Solutions: Join a dynamic team at the forefront of software development, contributing to innovative projects and shaping the technological solutions of the organization.
• Work with Clients from across the Globe: Collaborate with clients from around the world, gaining exposure to diverse cultures and industries, and contributing to the development of solutions that address the unique needs and challenges of global businesses.
• Complete Work from Home Opportunity: Enjoy the flexibility of working entirely from the comfort of your home, empowering you to manage your schedule and achieve a better work-life balance while coding innovative solutions for MCS.
• Opportunity to Work on Projects Developing from Scratch: Engage in projects from inception to completion, working on solutions developed from scratch and having the opportunity to make a significant impact on the design, architecture, and functionality of the final product.
• Diverse Projects: Be involved in a variety of development projects, including web applications, mobile apps, e-commerce platforms, and more, allowing you to showcase your versatility as a Full Stack Developer and expand your portfolio.

Joining MCS as a Full Stack Developer opens the door to a world where your technical skills can shine and grow, all while enjoying a supportive and dynamic work environment. We're not just building solutions; we're building the future—and you can be a key part of that journey.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Company Description

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.

This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.

Job Description

• Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
• Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
• Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
• Document defects, observations, and actionable feedback for engineering and product development teams.
• Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
• Re-test resolved issues and verify fixes as new builds become available.
• Maintain detailed testing documentation and ensure traceability of validation results.
• Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
• Strong attention to detail with excellent analytical and problem-solving skills.
• Ability to interpret test results and identify discrepancies.
• Experience documenting defects and working with engineering teams to resolve issues.
• Good written and verbal communication skills.
• Familiarity with software testing methodologies and defect lifecycle management.
• Exposure to Agile development environments is preferred.
• Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

Roles and Responsibilities: 

You’ll work closely with Goalkeep’s internal team and support client projects as needed. Your responsibilities will include: 

A. Infrastructure Maintenance & Optimization 

● Design and review data pipeline diagrams for both client and internal projects

● Build data pipelines by writing clean, efficient SQL queries for data analysis and quality checks 

● Monitor data pipeline performance and infrastructure costs, proactively resolving issues and identifying opportunities to improve reliability, efficiency, and cost-effectiveness.

● Maintain and upgrade Goalkeep’s internal tech infrastructure 

B. Tech Leadership & Team Enablement 

● Provide technical guidance, troubleshooting support, and coaching to strengthen data analysts’ skills so that they can successfully deliver on client projects 

● Create technical documentation, troubleshooting guides and reusable resources that improve team efficiency. 

● Foster a culture of curiosity, continuous learning and knowledge sharing across the team. 

C. AI-Enabled Data Engineering & Innovation 

● Explore and leverage AI tools to improve the efficiency, reliability and scalability of Goalkeep's data engineering workflows. 

● Identify opportunities to automate repetitive engineering and data quality tasks using AI-assisted approaches. 

● Work with internal teams to embed AI into engineering workflows while ensuring reliability, transparency and maintainability.

What we’re looking for:

Hard Skills 

● Data modeling and database management (PostgreSQL, MySQL, or SQL Server)

● Data engineering: writing efficient SQL, designing pipelines 

● Installing and maintaining software on Linux systems 

● Familiarity with cloud-based platforms (AWS / GCP / Azure) is a must

Soft Skills & Mindsets 

● Ability to coach others through patient communication & technical guidance.

● Curiosity and accountability when investigating system issues 

● Strong problem-solving ability with a structured and analytical approach. Preferred Qualifications: 

● Engineering degree with a minimum 4 years of experience working as a data scientist / data analyst/ data engineer 

● Bachelor's degree in any STEM field 

● Past experience in SQL (any dialect) 

● Knowledge of software engineering best practices and version control (Git)

What’s in it for you? 

1. The chance to work at the intersection of social impact and technology.

2. Shape how AI is responsibly applied to solve real-world data challenges for nonprofits.

3. Mentor and grow a technically strong team while influencing Goalkeep's engineering practices. 

4. Be part of a close-knit team passionate about using data for good.

Compensation Range: 

INR 9.0 lac – Rs. 12.0 lac per annum 

Apply here: 

https://forms.gle/eh2RDgtpWHv4f8mE6