466 Apache Kafka Jobs in India

Job Summary:

As a Software Development Engineer II in VoD Video Engineering team, you will design and build the core backend systems that power our Video-on-Demand platform — spanning content ingest, transcoding, adaptive bitrate packaging, and delivery at scale. You will own complex projects end-to-end, make meaningful architectural contributions, and play a hands-on role in raising the quality and reliability of our video processing infrastructure. This role is ideal for engineers who are passionate about distributed systems, media technology, and delivering exceptional streaming experiences to hundreds of millions of viewers.

About the Team:

VoD Video Engineering team is the backbone of our streaming platform — responsible for the entire lifecycle of on-demand video content, from ingest and transcoding through packaging, storage, and delivery. We own mission-critical systems that process thousands of hours of video daily, serving a global audience with reliability, low latency, and the highest quality of experience. Our team operates at the forefront of media technology, collaborating closely with CDN, playback, and content operations teams to continuously raise the bar on performance and scalability. If you're passionate about large-scale distributed systems and the technology behind modern video streaming, this is the team to be on.

Key responsibilities

• Design and build scalable, fault-tolerant backend services for video ingest, transcoding job orchestration, ABR packaging, and content delivery workflows.
• Own end-to-end delivery of complex VoD backend features — from technical design and implementation through deployment, monitoring, and operational handoff.
• Write high-quality, well-tested, and maintainable code; drive code review culture and champion engineering best practices within the team.
• Contribute to architectural decisions for the VoD platform, evaluating trade-offs across throughput, latency, cost, and reliability.
• Integrate VoD pipeline components with internal platform services including CMS, CDN origin, DRM/entitlement systems, and metadata APIs.
• Take ownership of production reliability: participate in on-call rotations, lead incident response, perform root cause analysis, and drive preventive improvements.
• Optimize video processing workflows for cost efficiency, throughput, and time-to-publish — including transcoding profile tuning and pipeline parallelism.
• Collaborate closely with Product Managers, content operations, and cross-functional engineering teams to translate requirements into robust technical solutions.
• Mentor junior engineers through code reviews, technical design discussions, and knowledge-sharing sessions; help grow the overall capability of the team.

Skills and attributes for success:

• 3+ years of professional backend software engineering experience, with a strong track record building and operating distributed systems in production.
• Proficiency in Go, Python, or Java with solid foundations in system design.
• Hands-on experience with cloud platforms (AWS preferred) — including compute, object storage (S3), managed queues (SQS/SNS), and serverless or containerized workloads.
• Solid understanding of distributed systems design: event-driven architectures, message queues (Kafka), workflow orchestration, and idempotency patterns.
• Experience with storage systems, caching strategies (Redis, Memcached), and database query performance tuning.
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices.
• Comfort with observability tooling — logging, metrics, and tracing — and a habit of building production-ready services from day one.
• Strong communication skills — able to clearly articulate technical approaches and trade-offs to peers, leads, and non-technical stakeholders.
• Collaborative team player who takes pride in lifting up those around them through mentorship and knowledge sharing.

Preferred education and experience:

• Bachelors/Master’s in computer science or a related field with 3+ years of experience in backend development

Job Summary:

As a Senior Software Engineer, you will lead the design and development of core systems that drive JioStar's lifecycle engagement, personalized marketing automation (Martech), and strategic partnership integrations. You'll own large-scale, high-concurrency systems end-to-end—from real-time event tracking and reward engines to partner sync pipelines—operating with autonomy and shaping the technical architecture of our ecosystem. This role is ideal for engineers who excel at solving complex distributed data problems, building scalable backend services, and mentoring others toward engineering excellence.

About the Team

Our team sits at the intersection of user retention, growth, and ecosystem monetization. We build and scale the platforms that power automated engagement campaigns, and seamless integrations with external partners and brands.

Whether we are processing high-throughput event streams for real-time personalization, orchestrating complex cross-channel martech workflows, or managing high-availability transactional data stores, our engineering focus is on resilience, speed, and clean architecture. If you are passionate about building systems that directly impact millions of users' retention and engagement journeys, we'd love to talk.

Key responsibilities

• Design and build scalable, resilient microservices that power engagement triggers, and partner integrations.
• Own end-to-end delivery of complex backend projects, from technical design to deployment and monitoring
• Write high-quality, maintainable code, and ensure rigorous testing and fault tolerance
• Drive architectural decisions and influence long-term engineering strategy for the team
• Collaborate closely with Product Managers, Data Scientists, and cross-functional teams to translate business needs into tech solutions
• Take ownership of operational excellence, including performance tuning, incident response, and root cause analysis
• Mentor junior engineers, conduct technical deep dives and code reviews, and foster a culture of knowledge sharing

Skills and attributes for success:

• Proficiency in Java, Golang, or Python
• Experience designing and building distributed systems at scale
• Strong understanding of storage systems, query performance, and caching strategies
• specifically experience with Amazon DynamoDB (single-platform design, partition keys, GSIs) and relational stores.
• experience with distributed caching strategies and tools
• Hands-on experience with cloud platforms (AWS preferred), messaging systems (Kafka), CI/CD pipelines (Github Actions and Docker)
• Proven ability to work autonomously, prioritize tasks, and manage delivery timelines in fast-paced environments
• You are passionate about growing engineers and leading by example

Preferred education and experience:

Bachelors/Master's in computer science or a related field with 4–6 years of experience in backend development.

Role Overview

We are looking for a strong Senior Python Engineer with hands-on AI/ML and Automation experience to join

our engineering team.

The engineer will work on high-scale backend systems, intelligent automation platforms, OCR/document

processing, AI-powered workflows, browser automation and integrations across multiple products.

This is not a role for someone whose AI experience is limited to calling LLM APIs. We need an engineer who

understands Python deeply and has built, deployed and maintained real production systems.

Experience Requirements

l Minimum 4 years of professional software development experience, primarily using Python.

l Minimum 2 years of practical hands-on experience in AI/ML, intelligent automation or closely related production

systems.

l Candidates with 4-6+ years of strong relevant experience are preferred.

l Strong production/backend engineering experience is essential.

Core Python & Backend Skills

l Python; FastAPI / Django / Flask; REST APIs and backend service development.

l Async programming and concurrency; multithreading / multiprocessing where appropriate.

l PostgreSQL / MySQL; Redis; background jobs and task queues such as Celery.

l WebSockets / real-time communication where required; authentication and authorization; API integrations.

l Docker; Linux; Git; logging, debugging and production troubleshooting.

l Ability to build fast, reliable and scalable Python services rather than only scripts.

AI / ML Requirements

l Machine Learning fundamentals; model training, evaluation and inference; data preprocessing and feature

engineering.

l Scikit-learn; PyTorch or TensorFlow; NLP.

l Embeddings, semantic search and vector databases.

l LLM integrations, prompt engineering, structured output and tool/function calling.

l RAG pipelines; AI agents / agentic workflows.

l OpenAI, Gemini, Claude or equivalent integrations; local/open-source model integration where appropriate.

l Understanding of model selection, accuracy, latency and cost trade-offs.

Automation Engineering

l Playwright; Puppeteer or equivalent browser automation frameworks; Selenium where appropriate.

l Headless browser and web workflow automation; form/repetitive task automation.

l Session/cookie management; file upload/download automation; API + browser hybrid automation.

l Retry and recovery mechanisms; scheduling and background execution.

l Queue-based automation workers; parallel/concurrent task processing.

Technical Architect

Experience:

10+ Years

Work Mode:

Onsite / Hybrid

Role Type:

Architecture + Hands-on Engineering + Technical Leadership

Role Overview

We are looking for an experienced and hands-on

Technical Architect

who can define enterprise-widearchitecture, technology strategy, and engineering standards across multiple products and platforms.

The Technical Architect will translate business requirements into scalable technical solutions, guideengineering teams, reduce technical risks, and remain actively involved in implementation when required.

This is

not a purely advisory or documentation-focused role

. The successful candidate should becomfortable contributing directly to production-quality code, prototypes, critical modules, technical fixes,and architectural Proofs of Concept (PoCs).

Key Responsibilities

Define enterprise architecture strategy, target architecture, and technology roadmaps acrossproducts and platforms.

Design scalable, secure, resilient, and maintainable software systems.

Architect cloud-native, distributed, microservices-based, and multi-tenant SaaS solutions.

Translate product and business requirements into architecture, technical designs, serviceboundaries, data models, and API contracts.

Establish architecture governance, coding standards, engineering best practices, and designprinciples.

Conduct architecture reviews, design reviews, code reviews, and technical risk assessments.

Identify scalability bottlenecks, security risks, performance issues, and technical debt.

Drive modernization initiatives and technology evaluations.

Guide technology selection and technical investment decisions.

Mentor Technical Leads, Senior Engineers, and other engineering team members.

Collaborate with Product, Engineering, QA, DevOps, Security, and business stakeholders.

Support technical estimation, solution feasibility, delivery planning, and architecture planning.

Hands-on Engineering Responsibilities

The Technical Architect must remain actively involved in engineering and should be capable of switchingbetween architecture and implementation depending on project requirements.

Responsibilities include:

Develop production-quality backend, frontend, or integration components when required.

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Build technical prototypes, PoCs, reference implementations, and reusable frameworks.

Assist engineering teams with complex technical and production issues.

Perform root-cause analysis and technical troubleshooting.

Contribute to performance and scalability improvements.

Implement or guide security fixes and critical technical modules.

Review existing codebases and recommend improvements.

Drive refactoring and modernization initiatives.

Conduct code reviews and establish implementation patterns.

Pair with engineers when required to translate architectural decisions into working software.

Remain comfortable moving between architecture, design, coding, reviews, and troubleshooting.

Core Technical Skills

Programming

JavaScript

TypeScript

Python

Go / Golang

Java

Spring Boot

Architecture & System Design

Microservices Architecture

Distributed Systems

Multi-Tenant SaaS

Domain-Driven Design (DDD)

Service-Oriented Architecture (SOA)

API-First Architecture

Cloud-Native Architecture

Enterprise Application Architecture

Backend Engineering

Node.js

Express.js

REST APIs / Enterprise APIs

Identity Management

Authentication & Authorization

Messaging

Integration Architecture

Database & Data

MongoDB

Redis

Data Modeling

2

Query Optimization

Performance Optimization

Frontend & Mobile

React.js

React Native

Cloud & DevOps

AWS

Docker

Kubernetes

CI/CD

Containerized Applications

Cloud-Native Deployments

Security

Secure Software Development Lifecycle (SSDLC)

API Security

Encryption

Security Governance

Authentication & Authorization

AI & Emerging Technologies

LangChain

Gemini

Retrieval-Augmented Generation (RAG)

AI Agents

OCR

Enterprise Integrations

Enterprise APIs

Payment Gateways

WhatsApp Business Integration

Third-Party System Integrations

These technologies and architecture areas are specified as the core technical expertise for the position.

Product & Engineering Expectations

The ideal candidate should have:

Strong experience building production-grade software products, not only isolated applications or

PoCs.

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Ability to balance ideal architecture with business timelines, budget, maintainability, and

engineering-team capabilities.

Experience working in evolving product environments with changing requirements and multiple

parallel initiatives.

Strong ability to evaluate technology options and explain technical trade-offs.

Ownership mindset with the ability to proactively identify and resolve technical problems.

Strong understanding of reliability, security, observability, performance, scalability, and

maintainability.

Ability to take architectural decisions from initial design through successful production

implementation.

Technical Leadership & Collaboration

Mentor Technical Leads and Senior Engineers.

Establish and promote a strong engineering culture.

Define clear technical direction and engineering standards.

Lead architecture, design, and code reviews.

Participate in technical hiring and evaluation of senior engineering candidates.

Help establish technical interview and engineering assessment standards.

Evaluate architecture, coding, system design, and problem-solving capabilities.

Communicate architecture decisions, technical risks, dependencies, and delivery implications to

leadership.

Promote effective documentation of architecture decisions, APIs, dependencies, and operational

considerations.

Preferred Experience

Experience in one or more of the following areas will be preferred:

FinTech

SaaS Products

AI Platforms

Cloud-Native Applications

Enterprise-Scale Distributed Systems

Nice to Have

Kafka

GraphQL

Serverless Architecture

Machine Learning Platforms

Multi-Cloud Architecture

Ideal Candidate Profile

The ideal candidate is a senior engineer and architect capable of operating at both strategic and

implementation levels.

🚀 WE ARE HIRING | JAVA FULL STACK DEVELOPER (React + Kafka + AWS + AI) 🚀

📍 Location: Mumbai

💼 Experience: 5+ Years

👨‍💻 Role: Java Full Stack Developer

Looking for an exciting career opportunity? We are hiring talented Java Full Stack Developers to join our growing team!

🔹 Required Skills:

• Java, Spring Boot & Microservices
• React.js
• Apache Kafka
• AWS Cloud Services
• AI technologies

📩 Interested candidates can share their updated resumes:

📧 Email:

revathi.r @vysystems. com

📞 Call / WhatsApp: 6 3 8 5 0 7 6 1 4 2

ABOUT THE ROLE

The Principal Software Engineer – Java will play a pivotal role in designing, developing, mentoring and maintaining high-performance IT system for Hapag-Lloyd. The role requires deep expertise in Java and microservices-based architecture, along with a strong focus on code quality, performance, and scalability. The ideal candidate will be a passionate engineer who thrives in a Java development agile environment and brings a solution-oriented mindset to collaborative product development. As a senior technical expert, you will be responsible for low-level and high-level architectural design, mentoring developers, and working closely with team in Hamburg & Chennai. The ideal candidate is a passionate, solution oriented engineer with a proven track record in leading technical projects within an agile environment.

WORK EXPERIENCE:

9–14 years of hands-on experience in development using Java, JEE, JPA, JUnit, Kafka, and Microservices. Good Experience in AWS. Strong experience in architectural design – both low-level and high-level. Experience building distributed systems and working in microservices-based architecture. Proficient with Kafka and message-driven architecture. Strong experience with relational databases (e.g., PostgreSQL). Sound understanding of modern DevOps practices, including CI/CD pipelines, containerization, and cloud deployment. Experience working in Agile/Scrum-based teams with exposure to software lifecycle tools (e.g., Git, Jenkins, JIRA).

Technical Skills Java, JEE, JPA, JUnit, Microservices Kafka (Desired), REST API development SQL, PostgreSQL Git, Maven, Jenkins (Desired), Familiarity with Docker, Kubernetes, and cloud platforms (eg. AWS)

EDUCATION & QUALIFICATIONS Bachelor’s degree in computer science, Engineering, or related discipline

KEY RESPONSIBILITIES & TASKS

Software Development & Design Design and develop scalable, reliable, and high-performance applications using Java, JPA, Kafka, Microservices, Junit, API and PostgreSQL. Lead low-level and high-level design discussions and decisions for scalable architecture. Build and maintain microservices architecture using industry best practices. Drive technology innovation. Write clean, efficient, well-documented code with high unit test coverage using JUnit.

Mentorship :

Mentor and guide developers and team members in coding standards, best practices, and problem-solving. Conduct regular code reviews, peer programming, and provide technical leadership to ensure code quality and continuous improvement.

Systems Integration & Tools:

Work with messaging systems such as Kafka to build real-time data processing services. Implement and optimize data access using SQL /PostgreSQL databases. Participate in the design and implementation of DevOps pipelines for CI/CD.

Quality, Testing & Documentation:

Conduct regular code reviews and participate in peer programming and Peer coding Review. Perform system testing, validation, and verification across development stages. Contribute to technical documentation throughout the software development lifecycle

Agile Collaboration & Continuous Improvement:

Collaborate closely with Product Managers, Engineering Managers, Scrum Masters, and developers in agile teams. Participate in sprint planning, retrospectives, and demos. Remain current on new technologies and drive adoption of best engineering practices across the team.

BEHAVIOURS & APPROACH

Strong analytical and problem-solving skills Team-oriented with excellent communication and collaboration skills Passion for clean code, architecture, and continuous learning Ability to work independently with a proactive approach to problem-solving

About Orenda

Orenda is a fintech-enabled financial services company founded in 2017 and based in Ahmedabad, Gujarat. We work as a corporate DSA and channel partner for leading banks and NBFCs, helping individuals, professionals, and MSMEs access suitable financial solutions across business loans, personal loans, home loans, loan against property, and professional loans.

At Orenda, we combine financial expertise, technology, and streamlined processes to simplify the lending journey. We are building our own lending-tech platform to improve operational efficiency, strengthen lender and partner integrations, and develop technology-driven solutions that support our evolving business needs.

About the role

We're looking for a Lead Software Engineer who enjoys building as much as designing. You'll shape how our systems are architected, write a good share of the code yourself, and lead a team of 3 to 5 engineers, including AI/ML engineers.

This is a hands-on leadership role, not a pure management or architecture position. Your time will be roughly split like this:

Share of time

Leading the team ~30%

Solution design ~30%

Hands-on coding ~30%

Deployment and infrastructure~10%

What you'll work on

Solution design and architecture

• Turning business needs into technical designs that are practical to build and easy to maintain

• Making architecture decisions across services, integrations and data flows

• Estimating, scoping and planning new features with business and product stakeholders

• Shaping the solution design for AI/ML use cases alongside the AI/ML engineers

Engineering and delivery

• Writing production code in Python and Node.js

• Rolling out new features across our internal and partner-facing platforms, including our CRM and partner portal

• Continuously improving existing systems for performance, reliability and code quality

• Reviewing code and setting engineering standards for the team

Infrastructure and cloud

• Maintaining and upgrading our infrastructure, including a planned move to a major cloud platform

• Owning deployments and production stability together with the team

• Working with event-driven and messaging systems (NATS today, Kafka planned)

Team leadership

• Leading and mentoring a team of 3 to 5 engineers

• Planning and prioritising work, unblocking the team, and making sure things ship

• Building a culture of ownership, clear documentation and quality

What we're looking for

• 5 to 8 years of software engineering experience, with hands-on coding in your recent roles

• Strong command of Python and Node.js

• Proven experience designing and building backend systems and microservices that run in production

• Hands-on experience deploying and running workloads on at least one major cloud platform (AWS, Azure or GCP)

• Solid working knowledge of PostgreSQL

• Experience with messaging or event streaming systems such as NATS, Kafka or RabbitMQ

• Experience leading or mentoring a small engineering team

• Comfort estimating effort, breaking down features and planning delivery

• Enough understanding of AI/ML systems to guide their solution design and integration

• Clear communication with both technical and non-technical stakeholders

Good to have

• Experience working at a fintech, lending or financial services company

• Hands-on experience with Kafka

• Experience leading an infrastructure upgrade or cloud migration

• Experience building or scaling CRM or partner-facing portal products

Why Join Us?

• Build a growing lending-tech platform: Play a key role in shaping the technology behind a growing financial services business.
• Own technical decisions: Contribute directly to architecture, engineering standards, and technology direction.
• Stay hands-on: Combine solution design and technical leadership with meaningful coding responsibilities.
• Work with emerging technologies: Collaborate with AI/ML engineers and contribute to evolving platform capabilities.
• Lead and grow a team: Mentor engineers and help build a strong engineering culture as the technology function scales.
• Make a measurable impact: Build systems that improve operational efficiency and support business growth.

Java Backend

5+ , 25lpa

Bangalore

java 17+ , springboot , kafka , agile , Oracle

Email: revathi.r @ vysystems. com

Call/WhatsApp: 6 3 8 5 0 7 6 1 4 2

INTERESTED CANDIDATE SHARE YOUR CV IN MAIL OR WHATSAPP

Senior Backend Developer – Java

Location: Mohali

Experience: 5+ Years

Looking for an experienced Senior Backend Developer with strong expertise in Java, Spring Boot, and microservices development.

Key Skills Required:

• Strong proficiency in Java, Spring Boot & Microservices
• Hands-on experience with Apache Kafka and MySQL
• Expertise in REST APIs, Docker, Kubernetes & Helm
• Knowledge of JWT, OAuth2, Firebase/FCM and CI/CD pipelines
• Experience with Agile/Scrum, code reviews, and production support
• Excellent communication, problem-solving, and ownership skills

Role: Senior Scala/Pekko Engineer

Experience: 12+ Years

Location: Electronic City, Bangalore

Work Mode: Hybrid

Payroll: Haparz

Budget open for the right candidate

Role Overview

We are looking for a highly experienced Senior Scala/Pekko Engineer to design, develop, and maintain scalable, resilient, cloud-native backend applications. The ideal candidate will have strong expertise in Scala, Pekko or Akka, distributed systems, event-driven architecture, and modern backend engineering practices.

You will contribute to architecture and technical design decisions, build reliable microservices and APIs, and help deliver high-performance systems using AWS, Kafka, Docker, and Kubernetes. The role requires strong engineering ownership, architectural thinking, and the ability to collaborate with product, frontend, and SRE teams.

Key Responsibilities

• Design, develop, and maintain scalable, highly available backend services using Scala and modern functional programming practices.
• Build asynchronous, concurrent, and fault-tolerant applications using Apache Pekko or Akka.
• Develop clean, maintainable, testable code using Scala libraries and functional programming tools such as Cats and Cats Effect.
• Contribute to system architecture, distributed systems design, microservices, API contracts, and technical decision-making.
• Design and implement Event Sourcing, CQRS, Domain-Driven Design (DDD), and event-driven architectures using Kafka.
• Build resilient, high-performance APIs and distributed services with appropriate error handling, recovery, and concurrency controls.
• Develop, deploy, and operate cloud-native applications on AWS using Docker and Kubernetes.
• Work with relational and non-relational databases, ensuring data consistency, performance, and appropriate data modelling.
• Establish and maintain automated testing, code quality standards, observability, logging, metrics, and production reliability.
• Contribute to CI/CD pipelines, deployment automation, and continuous improvement of software delivery practices.
• Collaborate with Product, Front-End, and SRE teams to translate business requirements into reliable technical solutions.
• Participate in code reviews, architecture discussions, technical mentoring, and knowledge-sharing activities.
• Take end-to-end ownership of engineering outcomes, troubleshoot complex production issues, and challenge technical decisions constructively.

Required Technical Experience

• 12+ years of software engineering experience, with strong hands-on expertise in Scala backend development.
• Strong practical experience with Apache Pekko and/or Akka for concurrent, asynchronous, and distributed applications.
• Solid understanding of functional programming, including practical use of Cats and Cats Effect.
• Strong knowledge of distributed systems, microservices, concurrency, fault tolerance, and API design.
• Hands-on experience with Kafka and event-driven architectures.
• Practical knowledge of Event Sourcing, CQRS, and Domain-Driven Design.
• Experience building and operating cloud-native backend services on AWS.
• Hands-on exposure to Docker, Kubernetes, CI/CD, automated testing, and production monitoring.
• Experience with relational and non-relational databases.
• Strong problem-solving, communication, technical ownership, and cross-functional collaboration skills.

Preferred / Additional Experience

• Experience migrating or modernizing Akka-based systems to Apache Pekko, or working with both ecosystems.
• Experience with production-scale distributed systems and high-throughput event processing.
• Experience with Java or Python as complementary backend languages.
• Familiarity with production observability, performance tuning, resilience testing, and incident management.

Experience: 8+ years (including 5+ years hands-on with Apache Kafka platform engineering)

Key Responsibilities

• Manage Kafka cluster lifecycle: provisioning, configuration tuning, upgrades, and decommissioning

• Deploy, operate, and maintain Kafka on Kubernetes using Confluent for Kubernetes (CFK)

• Monitor cluster health and set up alerting across consumer lag, broker health, and topic throughput

• Design and operate disaster recovery and multi-region replication strategies

• Enforce Kafka security policies including access reviews and ACL management

• Troubleshoot performance bottlenecks, consumer lag issues, and broker failures

Must Have

• 8+ years in messaging/streaming platform engineering, with 5+ years on Apache Kafka platform engineering

• Hands-on administration of self-managed on-premises Kafka clusters in KRaft mode

• Confluent for Kubernetes (CFK): operator management and custom resource configuration

• Kafka Connect: connector lifecycle, SMTs, and error handling

• Confluent Schema Registry; schema evolution and compatibility modes

• Kafka security: TLS/mTLS, SASL, and ACL configuration and troubleshooting

• Proficiency in Java or Scala; Python for scripting and tooling

• Observability: Prometheus, Grafana, and OpenTelemetry

Good to Have

• Apache Flink for complex event processing beyond Kafka Streams

• CDC pipelines into Kafka

• Operational experience with MirrorMaker 2 or Confluent Replicator in multi-DC setups

• Knowledge of event-driven architecture or data mesh principles

• Build and maintain infrastructure-as-code for Kafka resources

• Integrate Kafka platform changes with CI/CD pipelines for topic and schema deployments

Role Overview

We are looking for a Senior and Lead Java Backend Engineer with strong experience in Apache Kafka and Kafka Streams, along with Java, Spring Boot, and Microservices. The candidate will build and support scalable, event-driven backend applications and work with containerization and cloud technologies.

Required Skills

Java

Spring Boot

Microservices architecture

Apache Kafka — topics, partitions, producers, consumers, and message-processing guarantees

Kafka Streams — stream processing, joins, windowing, and stateful aggregations

Docker

Kubernetes

AWS

Key Responsibilities

Develop and maintain backend services using Java, Spring Boot, and Microservices.

Build and support event-driven applications using Apache Kafka and Kafka Streams.

Design and maintain Kafka topics, partitions, producers, and consumers based on application needs.

Implement stream-processing logic, including joins, windowing, and aggregations.

Troubleshoot performance, reliability, and message-processing issues in distributed applications.

Package and deploy applications using Docker and Kubernetes, and support deployments on AWS.

Collaborate with engineering teams to deliver reliable, scalable backend solutions.

This job is Remote India only

SHARE YOUR RESUME : { pavithra.e @vysystems.com },

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Job Description – Java Backend Developer

Experience: 5+ Years

Location: Bangalore

Notice Period: Immediate to 15 Days

Job Summary

We are looking for an experienced Java Backend Developer with strong hands-on expertise in Java and Apache Kafka. The ideal candidate should have experience in developing scalable backend applications, building event-driven systems, and working with distributed architectures.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java.
• Develop and implement event-driven applications using Apache Kafka.
• Build and maintain RESTful APIs and backend services.
• Work with distributed systems and microservices architecture.
• Develop efficient, reusable, and maintainable code.
• Troubleshoot, debug, and resolve application issues.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Participate in code reviews and technical discussions.

Mandatory Skills

• 5+ years of experience in Java Backend Development.
• Strong hands-on experience in Java.
• Hands-on experience with Apache Kafka.
• Good understanding of REST API development.
• Knowledge of microservices and distributed systems.
• Strong problem-solving and debugging skills.

Java backend (Java + Kafka)

Bangalore

5+yrs

immediate to 15days

Java, Spring Boot, Kafka, microservice

Call or WhatsApp: 6 3 8 5 0 7 6 1 4 2

Role Type

Backend Engineering (Java + Distributed Systems/API)

Role Summary

We are looking for an experienced Java Backend Engineer who has strong hands-on expertise in multithreading (concurrency), distributed systems, transactional processing, and backend design. The role requires someone who can design, develop, and optimize services running in high-volume, low-latency enterprise environments.

Key Responsibilities

· Design and implement scalable backend services using Java (8/11/17) and Spring Boot.

· Build high-performance systems leveraging multithreading, concurrency controls, and asynchronous programming.

· Work on distributed system components such as messaging, caching, service discovery, and consistency models.

· Implement robust transaction handling using ACID principles, isolation levels, distributed transactions, and rollback mechanisms.

· Develop RESTful and event-driven APIs following best practices for security and reliability.

· Participate in architecture discussions, design reviews, and technical planning.

Must-Have Skills

· Strong Java 8+ (Streams, functional programming, Collections)

· Spring Boot, Spring MVC, Spring Data

· Concurrency & multithreading (executor frameworks, locks, synchronization, concurrent collections)

· Transaction handling: JPA/JDBC, Spring transactions, isolation levels

· Distributed systems: microservices communication, Kafka/RabbitMQ, caching, resilience patterns

· System design: scalability, load balancing, fault tolerance

We are looking for a Backend Engineer (SDE 2) to build scalable backend systems for EV charging infrastructure and energy management platforms. The role focuses on developing high-performance APIs, event-driven systems, and data pipelines that process EV telemetry, charging sessions, and energy analytics.

What You'll Own

- Design and develop scalable backend services and RESTful/WebSocket APIs.

- Build microservices using Go.

- Design and optimize databases for high-volume telemetry and charging-session data.

- Build event-driven systems and data pipelines using Kafka or similar messaging systems.

- Work on real-time and batch processing workflows for telemetry, energy metrics, and analytics.

- Improve application reliability, performance, monitoring, and observability.

- Deploy and operate services using Docker and Kubernetes.

- Participate in system design, architecture discussions, code reviews, testing, and technical documentation.

- Mentor and support junior engineers when required.

Required Qualifications

- 3 - 5+ years of backend development experience building scalable APIs and microservices.

- Strong proficiency in Golang.

- Strong understanding of PostgreSQL, MongoDB, or other relational/NoSQL databases.

- Experience with query optimization, indexing, schema design, partitioning, or replication.

- Experience building event-driven or distributed systems using Kafka or similar messaging systems.

- Familiarity with GCP or other cloud platforms.

- Experience with Docker and Kubernetes.

- Experience with monitoring and observability tools such as Grafana, Kibana, or ELK.

- Strong understanding of system design, scalability, and performance optimization.

- Experience writing clean, maintainable, testable code with unit and integration tests.

Nice to Have

- Experience working with EV charging, energy management, mobility, or IoT platforms.

- Experience processing high-volume telemetry or time-series data.

- Experience with real-time data processing and analytics pipelines.

- Experience with WebSockets or other real-time communication protocols.

- Experience with CI/CD and production infrastructure.

- Experience working with distributed systems at scale.

Why Join Us

- Build backend infrastructure powering EV charging and energy platforms.

- Work on distributed systems, real-time data, and high-volume telemetry.

- Solve challenging problems around scalability, reliability, and performance.

- Take meaningful ownership of production systems and technical decisions.

Job Title : Tech Lead – Data Lake Platform

Number of Positions : 2

Experience : 7+ Years

Role Type : Technical Lead / Data Platform Lead

Domain : Data Engineering / Data Platform / AWS

About the Role :

We are looking for an experienced Tech Lead – Data Lake Platform to lead the design, development, and operations of an enterprise-scale AWS-based Data Lake Platform.

The platform will ingest data from multiple business systems, process it through structured data layers, and serve data for analytics, reporting, APIs, and operational applications.

As a Tech Lead, you will be responsible for setting the technical direction, leading data engineering teams, driving platform reliability and performance, and owning the platform's delivery, governance, and production support end to end.

Core Tech Stack :

AWS | S3 | EMR | Glue | Athena | Redshift | DMS | Lambda | RDS | IAM | Airflow | Spark/PySpark | SQL | Data Modeling | Hasura | GraphQL | DBT | PostgreSQL/Aurora | Kafka

Key Responsibilities :

• Own the overall Data Lake Platform architecture, covering data ingestion, staging, curated layers, consumption, analytics, and API/data serving.
• Lead the design and development of production-grade data pipelines using AWS Glue, EMR/Spark, Airflow, DBT, Athena, and Redshift.
• Design scalable batch and analytics pipelines with a focus on reliability, performance, data quality, and maintainability.
• Own the API/data-serving architecture from consumption data → RDS/PostgreSQL → Hasura GraphQL → Lambda/API Gateway.
• Drive improvements in platform stability, including orchestration failures, cluster sizing, pipeline SLAs, query performance, and production reliability.
• Design and implement appropriate AWS security, access control, IAM, PII handling, and data governance practices.
• Lead technical discussions, architecture decisions, code reviews, and engineering best practices.
• Mentor and guide data engineers while ensuring high-quality and scalable engineering delivery.
• Own production support, incident management, troubleshooting, and root-cause analysis (RCA) for critical data platform issues.
• Develop and maintain runbooks, operational procedures, monitoring, and incident response practices.
• Collaborate with business, product, application, and analytics teams to onboard new datasets and support reporting, API, and data consumption requirements.
• Ensure the platform meets defined availability, performance, security, data quality, and compliance requirements.

Must-Have Skills :

• 7+ years of experience in Data Engineering, Data Platform Engineering, or related areas, including experience in technical leadership or architecture.
• Strong hands-on experience with AWS Data Services, including:
• Amazon S3
• AWS EMR
• AWS Glue
• Amazon Athena
• Amazon Redshift
• AWS DMS
• AWS Lambda
• Amazon RDS
• AWS IAM
• Strong production experience with Apache Airflow.
• Strong hands-on experience with Apache Spark / PySpark.
• Strong SQL skills and experience with data modeling, including layered data architecture, data marts, and enterprise data models.
• Experience with Hasura or a similar GraphQL layer for PostgreSQL-based data/API serving.
• Strong understanding of data lake architecture and enterprise data platforms.
• Proven experience leading engineers and driving technical decisions.
• Hands-on experience with production support, troubleshooting, incident management, and RCA.
• Strong understanding of data platform performance, scalability, reliability, and SLA management.

Good-to-Have Skills :

• Experience with DBT and modern data transformation practices.
• Experience with lakehouse table formats on Amazon S3, such as Apache Iceberg or similar technologies.
• Strong knowledge of Amazon Redshift workload optimization, including :
• Distribution keys
• Sort keys
• Spectrum
• External tables
• Experience with Kafka or other streaming/data ingestion technologies.
• Experience with PostgreSQL / Amazon Aurora as a data-serving layer.
• Experience with Lambda and API Gateway for API-based data serving.
• Experience with enterprise data governance, data quality, security, and compliance.
• Experience in BFSI / Banking / Financial Services / Insurance domain.

Ideal Candidate :

The ideal candidate is a hands-on Data Platform / Data Engineering Lead who can operate at both the architecture and implementation level. You should be comfortable designing an AWS Data Lake from end to end, leading engineers, troubleshooting production issues, and working closely with business and application teams to deliver reliable data products.

SHARE YOUR RESUME : { pavithra.e @vysystems.com },

{ 8 9 2 5 8 0 2 4 5 7 }

Job Description – Java + React Full Stack Developer

Job Title: Java + Angular Full Stack Developer

Experience: 5–10 Years

Location: Hyderabad / Bangalore

Notice Period: Immediate to 15 Days

Mandatory Skills

Java

Spring Boot

Microservices

Angular

Job Description

We are looking for experienced Java + Angular Full Stack Developers with 5–10 years of hands-on experience in Java backend and Angular frontend development.

The candidate should have strong experience in developing scalable applications using Java, Spring Boot, and Microservices, along with good hands-on experience in Angular.

Key Responsibilities

Develop and maintain full-stack applications using Java and Angular.

Design and develop backend services using Spring Boot and Microservices.

Build responsive and scalable frontend applications using Angular.

Develop and integrate REST APIs.

Troubleshoot and resolve application issues.

Participate in application design, development, testing, and deployment.

Collaborate with cross-functional teams to deliver quality solutions.

Follow coding standards and best development practices.

Candidate Criteria

✅ 5–10 years of experience

✅ Strong Java development experience

✅ Hands-on Spring Boot & Microservices experience

✅ Strong Angular experience

✅ Immediate to 15 days joiners preferred

✅ Hyderabad / Bangalore location

**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

Role: Java Backend Lead

Experience: 9.5+ Years

Location: Hyderabad / Bangalore

Notice Period: Immediate to 15 Days

Interview Process: All Rounds Virtual

Mandatory Skills

• Strong hands-on experience in Java
• Spring Boot
• Microservices
• Kafka
• Strong technical/lead experience

Job Description

We are looking for an experienced Java Backend Lead with 9.5+ years of experience in backend application development and technical leadership.

The candidate should have strong expertise in Java, Spring Boot, Microservices, and Kafka, along with experience leading technical teams and delivering scalable backend solutions.

Key Responsibilities

• Design and develop scalable backend applications using Java and Spring Boot.
• Develop and maintain Microservices-based applications.
• Work extensively with Kafka for event-driven applications.
• Provide technical leadership and guide development teams.
• Participate in architecture, design, coding, code reviews, and troubleshooting.
• Collaborate with cross-functional teams to deliver projects successfully. 

🚨 Hiring: Java Developer – BPM | Hyderabad 🚨

We are hiring Java Developers with 5+ years of experience for 3 openings.

🔹 Role: Java Developer – BPM

🔹 Experience: 5+ Years

🔹 Location: Hyderabad

🔹 Notice Period: Immediate to 15 Days

🔹 Interview Process: All-Round Virtual

Mandatory Skills:

✅ Java 8+

✅ Spring Boot

✅ Microservices

✅ Any BPM Tool with Java

Good to Have:

🔹 Strong CI/CD Pipeline & Deployment experience

🔹 Exposure to AI Tools

#Hiring #JavaDeveloper #JavaJobs #SpringBoot #Microservices #BPM #HyderabadJobs #ITJobs #TechHiring

Looking for strong experience in Java, Spring Boot, Spring Cloud, Microservices, System Design, Kafka, Redis, Cloud, Docker & Kubernetes.

FinTech / Banking experience will be an added advantage.

looking for chennai and pune candidates, no relocation and all

Chennai & pune

java8 + springboot + microservice + Kakfa + AWS +Unit testing

Immediate to 15days

Role:  Senior Software Developer – SDE3

Experience: 8-12 Years

Employment Type: Full-time 

Location: Pune (Hybrid)

Job Description

We are seeking a highly skilled Senior Full-Stack Developer to design, develop, and deliver scalable, high-quality digital solutions. The ideal candidate combines deep expertise in modern microservices architecture, cloud platforms, and end-to-end feature delivery, with proficiency in agentic software development and a strong focus on engineering excellence, collaboration, and continuous innovation.

Responsibilities:

• Design and develop scalable, resilient applications using microservices architecture.

• Build end-to-end full-stack features, covering UI (React, TypeScript, Redux) and backend services.

• Develop Java (17+) / Spring Boot (3.x) microservices using Domain-Driven Design (DDD) and OpenAPI 3.x specifications.

• Implement event-driven architectures using Kafka, including topic design, consumer groups, and reliable message processing.

• Design optimized database schemas, write advanced SQL queries, and manage migrations using Liquibase within CI/CD pipelines.

• Lead low-level design (LLD) and define REST API and event contracts aligned with enterprise architecture standards.

• Conduct code reviews, enforce coding standards, and ensure high quality using SonarQube gates.

• Ensure high test coverage (>90%) using JUnit, Mockito, Testcontainers, Cucumber, Jest, and React Testing Library.

• Collaborate within Agile teams, mentor developers, and drive timely delivery of high-quality solutions.

• Leverage AWS, Docker, Kubernetes, CI/CD pipelines to improve productivity and system performance.

• Leverage AI-driven software engineering practices, including LLM-powered development tools, agentic AI workflows, code generation, automated testing, and AI-assisted debugging, to improve developer productivity, software quality, and delivery efficiency.

Required Qualification:

• Bachelor’s or Master’s degree in computer science, Information Technology, or a related field.

• Minimum 8 years of professional experience, including at least 5 years in full-stack development.

• Hands-on experience with microservices-based architecture and distributed systems.

• Strong understanding of functional programming, design patterns, and software architecture principles.

• Experience working in cloud environments (preferably AWS).

• Proficiency with CI/CD pipelines, Docker, and Kubernetes.

• Strong analytical thinking and problem-solving capabilities.

Must-Have Skills

• Strong proficiency in React.js, including Hooks, TypeScript, and state management using Redux Toolkit or React Query, along with testing frameworks such as Jest and React Testing Library.

• Extensive experience with Java 17+, Spring Boot 3.x, and the Spring ecosystem (Spring Cloud, Spring Security with OAuth 2.0), along with JPA/Hibernate.

• Hands-on experience with Apache Kafka, including topic design and managing consumer groups for event-driven architectures.

• Solid expertise in PostgreSQL, including schema design, performance tuning, indexing strategies, and database migration management using Liquibase.

• Proficiency in AI-assisted and agentic software development practices, with hands-on experience using AI coding assistants, autonomous development agents, and AI-enabled testing and code quality tools.

Good-to-Have Skills

• Experience with Redis, GraphQL, and AWS cloud services.

• Familiarity with AI-assisted development tools such as GitHub Copilot.

• Exposure to monitoring and observability tools like Kibana/ELK stack, Grafana, Glowroot, or Datadog.

• Experience working with modern development environments and IDEs (e.g., Kiro IDE).    

Job Title: Lead Software Engineer – Python

Experience: 5+ yrs

Job Location: Infopark, Kochi

Why Join Us?

• Innovative Environment: Join a forward-thinking company that encourages creativity and modern engineering practices.
• Career Growth: Ample opportunities for professional development, technical leadership, and career advancement.
• Collaborative Culture: Work in a cross-functional, team-oriented environment where your contributions directly shape infrastructure modernization.
• Competitive Compensation: Attractive salary package with performance-based incentives.

Key Responsibilities

API & Backend Development

• Design, build, scale, and maintain high-performance REST APIs and backend microservices using Python and FastAPI.
• Implement asynchronous workflows, robust data models, and scalable API integrations to interface with network infrastructure.
• Oversee code quality, establish engineering best practices, and conduct comprehensive code reviews to ensure reliability and maintainability.

Network Automation & Workflow Orchestration

• Design and build scalable, resilient network automation workflows using tools such as Netmiko, Nornir, and Ansible.
• Modernize manual network operations by automating provisioning, configuration management, and compliance checks.
• Integrate network automation tooling into continuous delivery pipelines to streamline deployment workflows.

Network Operations & Troubleshooting

• Apply deep networking fundamentals to diagnose, troubleshoot, and resolve complex issues across enterprise and data center networks.
• Interface with and manage configurations for routing, switching, firewalls, and core network protocols (TCP/IP, BGP, OSPF).

DevOps, CI/CD & Testing

• Implement and manage robust CI/CD pipelines to modernize deployment lifecycles and operational workflows.
• Drive automated testing suites to validate both network orchestration scripts and API endpoints prior to production deployment.
• Containerize services using Docker to support seamless local and production environments.

Technical Leadership & Mentoring

• Mentor engineering team members on network programmability, API development, and automation standards.
• Translate operational and infrastructure requirements into production-ready software solutions.

Required Skills

• 5+ years of hands-on software development experience with Python.
• Strong expertise in building high-performance RESTful APIs using FastAPI and modern asynchronous programming.
• Extensive hands-on experience with network automation frameworks and libraries, specifically Netmiko, Nornir, and Ansible.
• Deep networking fundamentals: TCP/IP, routing & switching, BGP, OSPF, and firewalls.
• Proven track record of replacing manual infrastructure operations with automated workflows and CI/CD pipelines.
• Strong proficiency with Git version control, collaborative development, and automated testing frameworks.

Preferred Skills

• Hands-on experience containerizing services using Docker and orchestrating multi-service environments.
• Exposure to enterprise network management systems, ITSM tooling (e.g., ServiceNow), and change management lifecycles.
• Familiarity with event-driven architecture or message brokers (e.g., Kafka, RabbitMQ).
• Experience with dependency management (Poetry) and pre-commit code formatting hooks.

Soft Skills

• Strong analytical, problem-solving, and root-cause troubleshooting abilities.
• Excellent written and verbal communication skills with the ability to bridge software engineering and network operations.
• Proactive, collaborative mindset with strong ownership over technical deliverables.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Network Engineering, or a related field (or equivalent practical experience).

Java Developer Hiring Post

🚨 Hiring: Java Developer | Kafka | Copilot

🔹 Experience: 5+ Years

🔹 Skills: Java, Kafka, GitHub Copilot

🔹 Location: Hyderabad / Bangalore

🔹 Work Mode: Hybrid

🔹 Interview: F2F / Virtual

🔹 Notice Period: Immediate Joiners Preferred

📩 Interested candidates can share their updated resume.

#Hiring #JavaDeveloper #JavaJobs #Kafka #Copilot #HyderabadJobs #BangaloreJobs #ImmediateJoiners #ITJobs

Job Summary : Java Full Stack Developer

Position: Java Full Stack Developer – Angular + React

Experience: 5 + Years

Location: Hyderabad / Bangalore

Key Skills:

Strong experience in Java, Spring Boot & REST APIs

Hands-on experience with React and/or Angular

Good knowledge of SQL/Database concepts

Experience with Microservices & Full Stack Development

Good understanding of API integration and web application development

Good problem-solving and debugging skills

Experience with Git/GitHub

Job Description: Senior Java/Python Developer (AI & GenAI Specialist)

Location

Position Summary

We are seeking an experienced Senior Java/Python Developer with strong expertise in enterprise application development and extensive hands-on experience in Artificial Intelligence (AI), Generative AI (GenAI), Large Language Models (LLMs), and AI-powered application development. The ideal candidate will lead the design, development, and deployment of scalable, intelligent solutions that integrate modern AI technologies with enterprise-grade Java and Python ecosystems.

This role requires a combination of strong software engineering skills, AI innovation capabilities, and architectural leadership.

Key Responsibilities

• Application Development

• Design, develop, and maintain scalable enterprise applications using Java and Python.

• Develop RESTful APIs, microservices, and event-driven architectures.

• Build high-performance backend systems using Spring Boot, FastAPI, Flask, or Django.

• Ensure code quality through unit testing, integration testing, and code reviews.

AI & Generative AI Development

• Design and implement AI-powered solutions leveraging Large Language Models (LLMs).

• Develop intelligent applications using OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and similar platforms.

• Build Retrieval Augmented Generation (RAG) architectures for enterprise knowledge systems.

• Implement AI agents, copilots, chatbots, virtual assistants, and workflow automation solutions.

• Engineer prompts and build prompt orchestration frameworks.

• Develop multi-agent AI systems and autonomous AI workflows.

Required Technical Skills

Core Programming

• Expert-level proficiency in:

o Java (Java 11/17/21)

o Python 3.x

• Strong understanding of OOP, design patterns, and software engineering principles.

Java Technologies

• Spring Boot

• Spring Cloud

• Hibernate/JPA

• Microservices Architecture

• Kafka/RabbitMQ

• REST API Development

Python Technologies

• FastAPI

• Flask

• Django

• Pandas

• NumPy

• Async Programming

Generative AI & LLMs

• OpenAI APIs

• Azure OpenAI

• LangChain

• LangGraph

• LlamaIndex

• Semantic Kernel

• Hugging Face

• Prompt Engineering

• RAG Frameworks

• AI Agent Frameworks

• Vector Databases (Pinecone, Weaviate, ChromaDB, Milvus, FAISS)

Preferred Qualifications

• Experience developing enterprise AI copilots and intelligent assistants.

• Experience implementing AI solutions using Microsoft Copilot Studio, Azure AI Services, or similar platforms.

• Knowledge of AI governance, responsible AI, security, and compliance frameworks.

• Experience in travel, finance, telecom, retail, or large enterprise environments.

• Exposure to graph databases and knowledge graphs.

• Understanding of multimodal AI (text, image, audio, video).

Educational Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related discipline.

• Generative AI certifications preferred.

Key Competencies

• Solution Architecture

• AI Innovation & Thought Leadership

• Problem Solving

• Stakeholder Management

• Technical Mentoring

• Agile Development

• Analytical Thinking

• Communication & Presentation Skills

Success Metrics

• Delivery of scalable AI-enabled enterprise solutions.

• Reduction in operational effort through AI automation.

• Successful deployment of GenAI applications into production.

• Application performance, reliability, and security.

• Adoption of AI best practices across development teams.

Job Description:

We are looking for a skilled Python Developer with 2+ years of hands-on experience in backend development and data processing. The ideal candidate should be proficient in Python and have working experience with web frameworks like Flask and FastAPI, along with exposure to data engineering and machine learning workflows.

Key Responsibilities:

Design, develop, and maintain scalable Python applications and APIs using Flask and FastAPI

Work with PySpark and Kafka for real-time data processing

Perform data manipulation and analysis using Pandas and NumPy

Develop and maintain modular, reusable, and testable code following OOP principles

Collaborate with data scientists to integrate ML models (TensorFlow, PyTorch, Scikit-learn) into production

Participate in code reviews, design discussions, and contribute to best practices

Write and maintain documentation for developed modules and workflows

Required Skills:

Strong proficiency in Python programming

Hands-on experience with Flask and/or FastAPI

Experience working with PySpark and Kafka

Solid understanding of Pandas, NumPy, and data handling in Python

Familiarity with TensorFlow, PyTorch, and scikit-learn

Good grasp of Object-Oriented Programming (OOP) concepts

Ability to write modular and maintainable code

Nice to Have:

Understanding of Machine Learning concepts and pipelines

Exposure to Generative AI (GenAI) technologies and tools

Experience with CI/CD tools, Docker, or cloud environments (AWS, GCP, etc.)

Qualifications:

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

About Us:

The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them. Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Job Summary:

We are looking for a Senior Data Engineer who is creative, collaborative, and adaptable to join our agile team of data scientists, engineers, and UX developers. The role focuses on building and maintaining robust data pipelines to support advanced analytics, data science, and BI solutions.

As a Senior Data Engineer, you will work with internal and external data, collaborate with data scientists, and contribute to the design, development, and deployment of innovative solutions.

Key Responsibilities:

• Design, develop, test, and maintain optimal data pipeline and ETL architectures.
• Map out data systems and define/design required integrations, ETL, BI, and AI systems/processes.
• Prepare and optimize data for predictive and prescriptive modeling.
• Collaborate with teams to integrate ERP data into the enterprise data lake, ensuring seamless flow and quality.
• Enhance cloud data infrastructure on AWS or Azure for scalability and performance.
• Utilize big data tools and frameworks to optimize data acquisition and preparation.
• Build architectures to move data to/from data lakes and data warehouses for advanced analytics.
• Develop and curate data models for analytics, dashboards, and reports.
• Conduct code reviews, maintain production-level code, and implement testing approaches.
• Monitor, troubleshoot, and resolve data ingestion workflows to maintain reliability and uptime.
• Drive innovation and implement efficient new approaches to data engineering tasks.

Must-Have Skills:

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
• 5+ years of experience working with enterprise data platforms, including building and managing data lakes.
• 3–5 years of experience designing and implementing data warehouse solutions.
• Expertise in SQL, including developing stored procedures (SP) and applying advanced data design concepts.
• Proficiency in Spark (Python/Scala) and Spark Streaming for real-time data pipelines.
• Experience with AWS or Azure services (e.g., AWS Glue, Azure Data Factory, Redshift, Snowflake).
• Familiarity with big data tools such as Apache Kafka, Apache Spark, or Flink.
• Hands-on experience with orchestration tools (e.g., Apache Airflow, Prefect).
• Knowledge of CI/CD processes, version control (e.g., Git, Jenkins), and deployment automation.
• Strong problem-solving, communication, and collaboration skills.

Good-to-Have Skills:

• Experience in integrating ERP data into data lakes.
• Experience with traditional ETL tools (e.g., Talend, Pentaho).

Competencies:

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

We are looking for Java Full Stack Developers with strong experience in development using Java, Spring Boot, and REST APIs, along with exposure to front-end technologies such as Angular or React.

Required Skills:

• Strong proficiency in Java and Spring Boot framework.
• Hands-on experience in developing REST APIs and microservices architecture.
• Experience with Kafka.
• Experience with Spring Batch processing.
• Knowledge of Swagger/OpenAPI.
• Hands-on experience with OpenShift or container orchestration platforms.
• Strong understanding of JPA/Hibernate ORM frameworks.
• Experience working with relational and/or NoSQL databases.
• Proficiency in Git version control systems.
• Experience with CI/CD tools and deployment pipelines.
• Testing knowledge using JUnit.
• Experience with functional and API testing tools such as Postman.
• Front-end development experience with Angular or React.

Job Title: Software Engineer / Senior Software Engineer – Java Backend

Experience: 5–10 Years

Location: Pune (Baner) – Work from Office (5 Days a Week)

About the Role :

We are looking for passionate Java Backend Engineers to build highly scalable, high-performance enterprise applications used by millions of users globally. The ideal candidate should have strong experience in Java, Microservices, Payment Gateway integrations, and Checkout platform development, with a product engineering mindset.

Candidates from FinTech, E-commerce, Payments, or Product-based companies will be preferred.

Key Responsibilities :

Design, develop, and maintain scalable backend applications using Java and Microservices.

Build secure, high-performance REST APIs and distributed services.

Develop and enhance Checkout platforms and Payment Gateway integrations for seamless payment processing.

Collaborate with Product, Architecture, QA, and DevOps teams throughout the SDLC.

Participate in system design, architecture discussions, and technical decision-making.

Ensure high code quality through unit testing, code reviews, and engineering best practices.

Build and support CI/CD pipelines and containerized deployments.

Troubleshoot production issues, optimize performance, and improve application reliability.

Mentor junior engineers and contribute to engineering excellence.

Required Skills :

5–10 years of backend development experience.

Strong expertise in Java, Spring Boot, Spring MVC, Hibernate/JPA.

Hands-on experience with Microservices Architecture.

Experience building RESTful APIs.

Strong knowledge of SQL/NoSQL databases.

Experience with Payment Gateway Integration (Stripe, Adyen, Razorpay, Worldpay, PayU, Checkout.com, etc.).

Hands-on experience developing Checkout and Payment Processing workflows.

Understanding of Payment Lifecycle, including Authorization, Capture, Refunds, Settlement, Webhooks, and Transaction Management.

Experience with Docker, Kubernetes, and containerized applications.

Good understanding of CI/CD pipelines using Jenkins or similar tools.

Familiarity with Git, Agile methodologies, and engineering best practices.

Strong problem-solving and debugging skills.

Preferred Skills :

Experience working in FinTech, Payments, E-commerce, or Product-based organizations.

Exposure to Cloud Platforms (GCP/AWS/Azure).

Experience with Kafka or event-driven architecture.

Knowledge of OAuth2, JWT, Keycloak, or similar authentication mechanisms.

Experience with Monitoring & Observability tools (Grafana, Prometheus, ELK, Splunk).

Performance tuning and scalability optimization experience.

Preferred Background :

Candidates from FinTech, Digital Payments, Banking Products, E-commerce, or Product Engineering companies.

Experience working on high-volume transaction systems handling secure payment processing and checkout experiences.

Senior Software Engineer – Full Stack Java Developer

Location: Pune (Baner) – Work from Office (5 Days a Week)

Experience: 5–10 Years

Join a fast-growing product-based company building high-scale, customer-centric applications. If you're passionate about solving complex engineering problems and building scalable systems, we'd love to connect with you.

Core Technical Skills

• Strong expertise in Java, Spring Boot, and Microservices
• Hands-on experience with ReactJS and Next.js
• Excellent understanding of Data Structures & Algorithms (DSA)
• Strong experience with System Design and scalable architecture
• Good knowledge of GraphQL
• Experience designing and developing REST APIs
• Expertise in SQL and/or NoSQL databases
• Experience building asynchronous, event-driven microservices
• Integration with internal and third-party services
• Strong understanding of software engineering best practices, clean code, testing, and maintainability

DevOps & Cloud

• Hands-on experience with Docker, Kubernetes, CI/CD, and Jenkins
• Experience building and deploying scalable production applications

Preferred Background

• Experience working in product-based eCommerce companies
• Strong academic background
• Customer-first mindset with the ability to thrive in a fast-paced environment
• Self-driven engineer capable of owning features end-to-end

Apache Flink Developer (Confluent Platform)

Role Summary:

Design, develop, and support real-time streaming solutions using Apache Flink and Confluent Platform. Build scalable event-driven data pipelines, implement streaming transformations using Flink SQL and Java, and optimize performance, reliability, and data quality.

Key Skills:

- Hands-on experience with Apache Flink and Flink SQL

- Strong SQL skills, including complex joins, aggregations, window functions, and query optimization

- Experience with Apache Kafka and Confluent Platform

- Proficiency in Java and stream processing concepts

- Knowledge of Schema Registry, Avro/Protobuf, CDC, and event-driven architectures

- Familiarity with cloud-native deployments and container platforms is a plus

Experience: Overall 8+ years with 6+ yrs in real-time data engineering, streaming platforms, or event-driven architectures.

What role will you play? 

As a Full Stack Engineer, you will play a pivotal role in our development team, bridging the gap between the visual elements and the server-side infrastructure. You will be instrumental in developing full-fledged, scalable applications by combining the art of design with the science of programming. With your expertise in both front-end and back-end technologies, you will ensure the entire stack is designed and built for speed and functionality.  

Your day to day will involve designing and developing dynamic, high-quality web applications, leveraging the Node.js and python for the back end services and React/Angular for the front end. Close collaboration with UI/UX designers will be essential, allowing you to bring web designs to life while ensuring high performance and responsiveness. Additionally, you will actively participate in coding, debugging, and testing to deliver reliable solutions whilst also working closely with other developers, designers, and product managers, fostering a collaborative environment to meet project goals and deadlines effectively. 

What you offer 

• Proficiency in Typescript and a good understanding of React  
• Solid experience with the Node.js, including the ability to develop RESTful APIs 
• Experience with containerisation of service using Docker 
• Knowledge of modern authorisation mechanisms, such as JSON Web Token (JWT)  
• Familiarity with SQL databases, such as PostgreSQL 
• Experience with Kafka or other event driven tools and tech 
• Nice to have some experience integrating with LLMs through open AI, Gemini etc. 
• Nice to have exposure to AI tooling – Claude, Copilot, Cursor etc. 
• AWS experience is a nice to have 

Experience: 4–6 Years

Domain: Automotive IoT | Connected Vehicles | Firmware & OTA

Core Stack: Rust | AWS | IoT Core | Apache Kafka | MemoryDB

Key Responsibilities  

OTA & Firmware Lifecycle  

• Co-own OTA firmware rollout operations across multi-ECU connected vehicle architectures.
• Design automated mechanisms to detect update failures, network interruptions, verification errors, and stalled deployments.
• Implement deterministic retry, recovery, and rollback mechanisms to ensure reliable firmware updates without vehicle bricking.
• Ensure firmware package integrity, signature validation, and data security throughout the OTA pipeline.

Data Engineering & Telemetry  

• Design and maintain real-time streaming pipelines for vehicle telemetry, heartbeats, OTA campaign status, and ECU state changes.
• Build high-throughput data services and workers using Rust for payload routing, processing, and verification.
• Use Apache Kafka and AWS IoT Core for real-time data ingestion and event streaming.
• Leverage AWS MemoryDB for Redis for low-latency fleet state, campaign progression, and session management.
• Build resilient pipelines capable of handling intermittent connectivity, noisy networks, and out-of-order data.

Monitoring & Analytics  

• Build real-time dashboards for fleet health, firmware versions, OTA campaigns, and update progress.
• Define and monitor key OTA metrics including success/failure rates, retry rates, failure categories, and completion time.
• Implement automated alerting and anomaly detection for unexpected failure spikes during staged or canary rollouts.
• Analyze logs, traces, and telemetry data to identify campaign bottlenecks, telemetry loss, and hardware-related failures.

Required Skills  

Mandatory  

• 4–6 years of experience in Data Engineering, Software Engineering, or IoT Backend Engineering.
• Strong hands-on experience with Rust for backend/data processing applications.
• Experience with AWS, particularly IoT Core, S3, ECS/EKS, and Lambda.
• Strong experience with Apache Kafka and real-time data pipelines.
• Hands-on experience with AWS MemoryDB for Redis or Redis Enterprise.
• Working knowledge of Python and SQL.
• Experience with MQTT, WebSockets, and HTTP/S protocols.
• Strong understanding of distributed systems, streaming data, and resilient data pipelines.

Preferred  

• Experience with firmware lifecycle management and OTA systems.
• Exposure to connected vehicles, automotive IoT, telemetry platforms, or connected hardware fleets.
• Experience with device shadows and fleet/device state management.
• Experience building telemetry dashboards using Power BI, Apache Superset, or custom dashboards.
• Experience with staged/canary deployments and automated failure recovery.

Primary Technology Stack  

• Languages: Rust, Python, SQL
• Cloud: AWS, IoT Core, S3, ECS/EKS, Lambda
• Streaming: Apache Kafka
• Caching & State: AWS MemoryDB for Redis, Redis
• IoT Protocols: MQTT, WebSockets, HTTP/S
• Analytics & Visualization: Power BI, Apache Superset
• Domain: Automotive IoT, Vehicle Telemetry, OTA, Firmware Management

Greetings from NAM Info Pvt Ltd,

Job Title: Senior Java Spring Boot & Microservices Developer

Experience: 7+ Years

Primary Skills: Java 8/10, Spring Boot, Microservices, REST APIs, Kafka

Job Summary

We are looking for an experienced Java Spring Boot & Microservices Developer with 7+ years of hands-on experience in designing, developing, and deploying scalable enterprise applications. The ideal candidate should have strong expertise in Java 8/10, Spring Boot, Microservices architecture, RESTful APIs, Kafka, multithreading, collections, and coding best practices.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java 8/10 and Spring Boot.
• Build and implement Microservices-based applications following industry best practices.
• Develop and integrate RESTful APIs with internal and external systems.
• Implement asynchronous and event-driven solutions using Apache Kafka.
• Write clean, efficient, maintainable, and reusable code.
• Optimize application performance using Java Collections, Multithreading, and Concurrency concepts.
• Troubleshoot, debug, and resolve production issues.
• Participate in code reviews and ensure adherence to coding standards.
• Collaborate with cross-functional teams including Product, QA, DevOps, and Business stakeholders.
• Contribute to architecture discussions and technical design decisions.

Required Skills

• 7+ years of hands-on experience in Java development.
• Strong proficiency in Java 8/10 features (Streams, Lambda Expressions, Optional, Functional Interfaces, etc.).
• Excellent understanding of Java Collections Framework.
• Strong knowledge of Multithreading and Concurrency.
• Hands-on experience with Spring Boot.
• Solid experience in developing REST APIs.
• Strong practical experience in Microservices architecture.
• Hands-on experience with Apache Kafka.
• Good understanding of object-oriented programming (OOP), design patterns, and SOLID principles.
• Strong coding, debugging, and problem-solving skills.
• Experience with Git and Maven/Gradle.
• Knowledge of SQL databases and API testing tools such as Postman.

Preferred Skills

• Experience with Docker and Kubernetes.
• Familiarity with CI/CD pipelines.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Knowledge of monitoring and logging tools.
• Exposure to Agile/Scrum development methodologies.

Mandatory Technical Expertise

• Java 8/10
• Spring Boot
• REST APIs
• Microservices
• Apache Kafka
• Multithreading
• Collections Framework
• Strong Coding & Problem-Solving Skill

Job Title : Senior Software Development Engineer in Test (Sr. SDET)

Experience : 5 to 10 Years

Location : Bengaluru (5 Days Work From Office)

Working Days : Monday to Friday (5 Days a Week)

Notice Period : Immediate to 15 Days

Interview Process : 2 Technical Client Rounds

Role Overview :

We are looking for a Senior SDET with strong expertise in Backend/API Automation Testing for Microservices-based applications.

The ideal candidate should have experience building scalable automation frameworks, validating distributed systems, and integrating automation into CI/CD pipelines.

Mandatory Skills :

Java, Backend Automation Testing, API Automation, REST Assured, Microservices, TestNG, JUnit, Maven / Gradle, CI/CD, SQL, Kafka / RabbitMQ / SQS, Docker, Kubernetes, REST APIs, Distributed Systems, Grafana / Prometheus / Kibana / Splunk.

Preferred Skills :

AWS / GCP / Azure, MongoDB, Redis, Cassandra, WireMock, Pact, JMeter, Gatling, k6, Python, Shell Scripting.

Key Responsibilities :

• Design and maintain API/backend automation frameworks.
• Perform functional, integration, regression, and end-to-end testing.
• Automate testing for microservices and event-driven architectures.
• Integrate automation into CI/CD pipelines.
• Validate asynchronous workflows using messaging systems.
• Collaborate with Development and DevOps teams to ensure high-quality releases.
• Mentor QA engineers and improve automation best practices.

Required Skills & Qualifications :

• 5+ years of experience in Software Testing with a strong focus on Backend / API Automation.
• Hands-on experience testing Microservices-based applications.
• Strong expertise in REST API testing using REST Assured, HTTP Client, Postman, or similar tools.
• Excellent programming skills in Java with hands-on experience developing scalable automation frameworks.
• Strong experience with TestNG, JUnit, Maven/Gradle, and CI/CD integration.
• Hands-on experience validating asynchronous workflows using Kafka, RabbitMQ, AWS SQS, or similar messaging platforms.
• Strong knowledge of SQL and relational databases such as MySQL, PostgreSQL, or Oracle, including complex queries and joins.
• Experience working with Docker, Kubernetes, and containerized applications.
• Experience validating applications deployed in Ephemeral or dynamic test environments.
• Good understanding of distributed systems and backend application architecture.
• Experience with observability and monitoring tools such as Grafana, Prometheus, Kibana, or Splunk.
• Strong understanding of software design principles, automation architecture, and test automation design patterns.

Preferred Skills :

• Experience with NoSQL databases such as MongoDB, Redis, or Cassandra.
• Knowledge of contract testing, service virtualization, and mocking tools such as WireMock or Pact.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with performance and resilience testing tools such as JMeter, Gatling, or k6.
• Working knowledge of Python or Shell scripting.

Data Engineer — Recommendation Engine

About the Company

~~ is India's first Gaming Commerce company, pioneering a new way for 500M+ gamers—an audience growing at 19.6% YoY—to shop inside games.

It is a white-label SaaS plugin that integrates into casual and hyper-casual games, transforming in-game coins into real-world value. Players can redeem them for brand coupons, digital services, or even physical products inside fully customizable in-game stores.

For gaming studios, ~~ directly solves the industry's toughest challenge—low retention—while also boosting monetisation. For brands, it unlocks a massive high-attention audience that already spends billions on in-game experiences, enabling targeted engagement with measurable ROI. Unlike traditional ads, PlaySuper embeds commerce into gameplay itself, improving recall, conversion, and loyalty.

The Role

We're building a recommendation engine that surfaces the right products to the right player at the right moment inside our in-game store. A core challenge: we have limited in-app behavioural data today, so the system must rely heavily on external market signals to make great recommendations from day one.

As our first Data Engineer, you will own the data infrastructure that makes this possible. You'll build the pipelines that collect, process, and serve these signals into our real-time ranking system.

This is a foundational hire. The entire recommendation engine—from Deal Quality Scores to seasonal trends—depends on the pipelines you build.

What You'll Do

• Own external data pipelines—scrapers for Flipkart/Amazon bestseller rankings, PriceHunt/Smartprix for price benchmarking, Google Trends API for brand and category demand signals
• Build the Deal Quality Score pipeline—a daily batch job that computes a competitiveness score for every product in our catalogue, stored in Redis for sub-millisecond lookup at serving time
• Maintain a seasonal and festive calendar—structured data store for trend overlays (IPL, Diwali, back-to-school, etc.)
• Design and own the in-store event schema in ClickHouse that will power behavioural cohorts as in-app data accumulates
• Build ETL infrastructure (S3 + Spark/Glue) for longer-horizon trend and market data
• Own data quality and freshness SLAs—you are responsible when a signal the reco engine depends on breaks silently

What We're Looking For

• 3–5 years of data engineering experience, ideally at a startup or product company
• Strong Python—you write clean, production-grade pipeline code, not just notebooks
• Experience building and maintaining web scrapers or data collection pipelines at scale
• Hands-on experience with a workflow orchestrator—Airflow, Prefect, or equivalent
• Solid SQL; experience with ClickHouse or another OLAP database is a strong plus
• Familiarity with Redis as a serving layer—you understand TTL, key design, and cache invalidation
• Comfortable with AWS—S3, Glue, ECS; you can set up infra without needing DevOps help
• You care about data quality—you monitor pipelines, set up alerts, and feel responsible when something breaks

Strong Plus (Nice to Have)

• Experience with e-commerce or marketplace data—price intelligence, product catalogues, category taxonomy
• Familiarity with recommender system data patterns
• Experience with Spark or distributed processing for larger datasets
• Prior work on gaming or consumer mobile products

Location: Gurgaon

Compensation: Competitive salary with an opportunity to get meaningful equity

Reports to: CTO

Why PlaySuper?

• Your pipelines feed the system that directly drives real GMV for our studio partners
• Small team, fast decisions, no bureaucracy
• Work directly with the CTO on architecture and direction
• Direct impact visible within weeks of shipping

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)

Java Developer – Job Description

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL.

We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting.

Required Skills

• Experience: 4 to 7 years.
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

About Wissen Technology

Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015.

Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals.

Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’.

Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

Wissen Technology offers an array of services including:

• Application Development
• Artificial Intelligence & Machine Learning
• Big Data & Analytics
• Visualization & Business Intelligence
• Robotic Process Automation
• Cloud
• Mobility
• Agile & DevOps
• Quality Assurance & Test Automation

We have been certified as a Great Place to Work® for two consecutive years (2020–2022) and voted as the Top 20 AI/ML vendor by CIO Insider.

Job Title: 

Role Overview

We are seeking a high-performing Senior Power BI Analyst / Developer to design, build, and optimize our next-generation enterprise analytics platform. In this role, you will be the core architect of our data visualization layer, turning complex data streams into actionable executive insights.

The ideal candidate bridges the gap between traditional business intelligence and modern cloud data engineering. You will be responsible for building highly performant, scalable data models on Azure and creating seamless, near real-time reporting solutions utilizing streaming data and Change Data Capture (CDC) pipelines.

Key Responsibilities

1. Advanced Data Modeling & Performance Tuning

Design, implement, and maintain enterprise-grade, highly scalable data models (Star and Snowflake schemas) within Power BI and Azure Analysis Services/Fabric.

Optimize complex DAX queries, M code, and data loading processes to ensure sub-second dashboard responsiveness on large-scale datasets.

Implement advanced performance-tuning strategies, including aggregations, incremental refreshing, and hybrid tables (combining Import and DirectQuery).

2. Streaming Analytics & Real-Time Reporting

Architect and implement near real-time dashboards utilizing Power BI streaming datasets, push datasets, and automatic page refreshes.

Integrate reporting front-ends with modern Change Data Capture (CDC) architectures to surface low-latency transactional updates.

Partner with data engineering teams to ingest and model fast-moving event data coming from cloud streams into analytical reporting structures.

3. Azure Architecture Integration

Leverage the Azure data stack (Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, and Azure SQL DB) to build robust downstream reporting layers.

Participate in the orchestration of data pipelines (using Azure Data Factory or Synapse pipelines) to align with dashboard refresh schedules.

Embrace modern Power BI developer workflows using Tabular Editor, ALM Toolkit, DAX Studio, and Git integration for version control.

Required Technical Skills & Qualifications

Experience: 3-5+ years of dedicated experience developing, modeling, and tuning enterprise Power BI solutions, with at least 2+ years operating within an Azure cloud ecosystem.

Expert DAX & Power Query: Mastery of complex DAX computations (time-intelligence, advanced filtering) and optimized M-code data transformations.

Modern Data Paradigms: Proven experience handling Streaming Data or CDC (Change Data Capture) patterns (e.g., streaming from Debezium, Azure Event Hubs, Kafka, or Synapse Link) into Power BI.

Azure Stack Expertise: Solid working knowledge of Azure data resources (Synapse, Data Factory, Azure SQL, or Azure Fabric Lakehouses).

Data Engineering Concepts: Deep understanding of data warehousing concepts, including slowly changing dimensions (SCDs), partitioning, and indexing strategies.

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field (or equivalent practical experience).

Preferred (Nice-to-Have) Skills

Microsoft Certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).

Experience with CI/CD deployment pipelines for Power BI deployment pipelines or Azure DevOps.

Familiarity with SQL performance tuning (analyzing execution plans, optimizing views, and indexing).

Company Description

TECHSOPHY specializes in productizing solutions based on new technology, focusing on emerging platforms of BPM & ECM, Low Code, AI (ML/RPA/NLP). Founded in 2009, TECHSOPHY operates with headquarters in California, USA, and regional offices in Dubai, UAE, and an offshore innovation center in Hyderabad, India.

Qualifications

• Solid Fundamentals and exceptional problem-solving skills
• Solid and fluent understanding of algorithms and data structures
• Proficiency in Scala + Spark
• Proficiency in Scala + Play framework
• Experience Range: 4 to 7 Years

Requirement:

Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:

• Excellent programming skills and knowledge of Java / Scala
• Excellent software design, problem-solving, and debugging skills
• Experience with modern Big Data technologies such as Spark, NoSQL, Cassandra, Kafka, MapReduce, and the Hadoop ecosystem is a must-have
• Experience with data analytics and the ability to mine data to obtain insights are much appreciated

Job Title: Golang Engineer

Duration: Full-time

Location: Bangalore 

Required:

·      Demonstrable experience in at least one back-end type safe programming language (Golang Preferred but other experience can be considered).

·      Comfortable/experienced with back-end micro-service architecture and communication, specifically REST and asynchronous messaging services (e.g., Kafka, RabbitMQ etc.)

·      Comfortable/experience within a Scrum framework working with as part of a team to deliver business functions and customer journeys that are tested and automated throughout the CICD pipeline to production

Desired:

·      Bachelors Degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.

·      Experience in professional software development. Solid understanding of test-driven development, including unit, component, functional, system integration and regression tests.

·      Knowledge of software engineering methodology (Agile, incl Scrum, Kanban, SAFe, Test-Driven Development (TDD), Behavior Driven Development (BDD) and Waterfall).

·      Knowledge of any or all of the following technologies is desired: Kafka, Postgres, Golang, Git, gRPC, Docker, GraphQL.

·      Experienced in continuous integration (CI), continuous deployment (CD) and continuous testing (CT), including tools such as Jenkins, Rally and/or JIRA and version control such as GIT or SVN.

Job Title : Senior API Developer (Spring Boot Microservices + Apigee/APIM)

Experience : 6+ Years

Employment Type : Contract

Role Level : Senior

Project : Leading South Africa Telecommunications Operator

Department : Application & Experience Engineering

Job Overview :

We are seeking a Senior API Developer with strong expertise in Spring Boot Microservices and API Gateway technologies (Apigee/Azure API Management) to design, develop, and manage secure, scalable APIs for enterprise applications and partner integrations.

The ideal candidate will build high-performance APIs exposing business insights, analytics, and AI/ML services while ensuring security, scalability, and reliability.

Mandatory Skills :

Java, Spring Boot, Microservices, REST APIs, Apigee or Azure API Management (APIM), OAuth2, OpenID Connect (OIDC), JWT, Docker, Kubernetes (AKS), API Security, API Gateway, Microservices Architecture, Kafka (Preferred).

Key Responsibilities :

• Design, develop, and maintain secure RESTful APIs using Spring Boot Microservices.
• Build scalable microservices following best practices for resilience, performance, and maintainability.
• Configure and manage APIs using Apigee or Azure API Management (APIM), including authentication, rate limiting, traffic management, and analytics.
• Implement API security using OAuth2, OpenID Connect (OIDC), API Keys, and Mutual TLS.
• Collaborate with Full Stack, AI/ML, Solution Architecture, and Cybersecurity teams to deliver enterprise-grade integrations.
• Support external partner integrations and internal enterprise systems through well-designed API contracts.
• Optimize API performance, monitor usage, troubleshoot issues, and maintain API lifecycle, versioning, and documentation.

Required Skills :

• 6+ years of experience in Backend/API Development.
• Strong hands-on experience with Java, Spring Boot, and Microservices Architecture.
• Expertise in Apigee or Azure API Management (APIM).
• Strong understanding of REST APIs, API versioning, and API lifecycle management.
• Experience implementing OAuth2, OpenID Connect (OIDC), JWT, API Security, and Authentication.
• Experience with Docker, Kubernetes (AKS), and Cloud-native deployments.
• Familiarity with Kafka or other event-driven messaging platforms is a plus.
• Excellent understanding of enterprise integration patterns and scalable API design.

Good to Have :

• Experience with Azure Cloud.
• Telecom, Banking, FinTech, or other regulated industry experience.
• Certifications in Apigee, Microsoft Azure, or Microservices Architecture.

Job Title: Associate AI/ML Engineer

Location: Gurugram, Haryana

Employment Type: Full-Time

About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

Role Overview

As a Associate AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

Key Responsibilities

1. Model Development & Optimization

Design & Implementation:

• Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
• Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

Optimization:

• Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
• Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

• Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
• Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

Data Quality & Preprocessing:

• Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

• Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
• Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

• Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

• Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
• Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

• Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
• Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

• Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

• Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
• Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

• Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

• PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

• Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

• PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

• Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

• OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

• Experience:
• 5+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
• Programming & Frameworks:
• Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
• Experience with Hugging Face Transformers for NLP applications.
• Data Engineering:
• Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
• Familiarity with big data platforms and real-time data processing frameworks.
• Model Deployment & MLOps:
• Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Experience with cloud deployment and model serving solutions.
• Research & Innovation:
• Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
• Testing & Optimization:
• Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

• Exceptional problem-solving and analytical abilities.
• Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
• Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
• Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

• Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
• Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
• Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
• Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Job Description

We are looking for a hands-on Technical Lead Engineer (Full Stack) to spearhead the design, development, and delivery of our scalable web platforms and core application ecosystems. In this role, you will bridge the gap between front-end experiences and robust back-end systems. You will lead an agile development team through technical architecture, feature implementation, integration, testing, deployment, and production support.

The ideal candidate has deep technical expertise in both frontend and backend modern frameworks, a passion for system design, and practical experience building secure, scalable, and high-performance distributed web applications.

Key Responsibilities

• Technical Leadership: Lead end-to-end full-stack software development, architectural design, and system evolution.
• Backend Architecture: Design scalable, fault-tolerant backend architectures, optimizing high-volume data ingestion pipelines and processing engines.
• Frontend Excellence: Direct the development of highly responsive, intuitive, and modular user interfaces that ensure a seamless user experience.
• API & Integrations: Architect secure RESTful APIs and integrate external enterprise platforms, third-party microservices, and identity providers.
• Team Mentorship: Mentor developers, run strict code reviews, define engineering best practices, and guide sprint-level execution.
• Data & Messaging: Maintain and optimize relational, NoSQL, and time-series databases alongside message queues for real-time application events.
• Production Ownership: Own technical troubleshooting for live production bottlenecks, system latency issues, and deployment bugs.
• Documentation: Create clean technical documentation, structural architecture diagrams, and system deployment guidelines.

Required Skills

• Experience: 6+ years of software development experience with at least 2+ years leading engineering teams or owning technical delivery.
• Backend Core: Advanced hands-on experience with Java, Spring Boot, Spring Cloud, multithreading, and REST API development.
• Frontend Core: Mastery of modern JavaScript/TypeScript frameworks (such as React, Angular, or Vue.js), HTML5, and responsive CSS architectures.
• Data Platforms: Proficient with relational databases (MySQL, PostgreSQL) and NoSQL/Caching systems (Redis, MongoDB).
• Messaging Systems: Experience implementing asynchronous workflows using message brokers like Kafka or RabbitMQ.
• Design Patterns: Strong grasp of microservices patterns, distributed system caching, load balancing, and failover mechanisms.

Preferred / Nice-to-Have Skills

• Experience deploying workloads to Cloud environments (AWS, Azure, or GCP).
• Familiarity with containerization tools like Docker and orchestration via Kubernetes.
• Hands-on experience setting up continuous integration and automated deployment pipelines (CI/CD).
• Exposure to system observability tools (Prometheus, Grafana, ELK stack).

Education Requirement

• Bachelor's degree in Computer Science, IT, Electronics, Electrical Engineering, or a related field. Candidates with equivalent exceptional hands-on full-stack engineering experience will be highly considered regardless of formal degree background.

Work Mode: Full-time, in-person

Reporting To: VP – Software

Job Description

We are looking for a hands-on Technical Lead Engineer to lead the design, development, and delivery of our Head-End System (HES), Meter Data Management (MDM), and Smart Metering platform. The role requires strong backend engineering expertise, deep understanding of smart metering and utility systems, and the ability to guide a development team through architecture, implementation, integration, testing, deployment, and production support.

The ideal candidate will have practical experience building scalable IoT or utility platforms involving smart meter communication, DLMS/COSEM protocols, real-time data acquisition, validation, event processing, command execution, and integration with enterprise systems such as billing, NMS, OMS, and analytics platforms.

Key Responsibilities

• Lead end-to-end technical development of HES, MDM, AMI/AMR, and smart metering modules.
• Design scalable backend architecture for meter communication, data ingestion, validation, processing, storage, and reporting.
• Implement and guide development of DLMS/COSEM IEC 62056 based meter communication.
• Integrate with smart meters, DCUs/gateways, billing systems, NMS, OMS, analytics systems, and third-party utility platforms.
• Lead Java/Spring Boot backend development using REST APIs, messaging queues, socket programming, and distributed system patterns.
• Design high-volume data pipelines for interval data, events, alarms, billing reads, and meter health data.
• Ensure performance, scalability, fault tolerance, database optimization, and reliable production operations.
• Mentor developers, review code, define engineering standards, and guide sprint-level technical execution.
• Work with product, project, QA, deployment, and customer teams to convert utility requirements into robust technical solutions.
• Own technical troubleshooting for production issues, performance bottlenecks, device communication failures, and integration defects.
• Prepare technical documentation, architecture diagrams, API specifications, and deployment guidelines.

Required Skills

• 6+ years of software development experience, including 3+ years in smart metering, HES, MDM, AMI, IoT, or utility platforms.
• Strong hands-on experience with Java, Spring Boot, REST APIs, JDBC/JPA, multithreading, backend system design, debugging, performance tuning, and production support.
• Practical experience with DLMS/COSEM, IEC 62056, Gurux or similar frameworks, smart meter communication, meter reads, events, commands, and remote operations.
• Strong understanding of communication protocols such as TCP/IP, socket programming, FTP/SFTP, MQTT/HTTP, and related integration patterns.
• Experience with Kafka/RabbitMQ, MySQL/MariaDB, MongoDB, Redis, ClickHouse, Apache Solr, or similar messaging and data platforms.
• Knowledge of scalable architecture, including clustering, replication, load balancing, caching, retries, failover, monitoring, and large-scale time-series data handling.
• Experience leading backend engineering teams, owning technical delivery, reviewing code, and mentoring developers.
• Preferred: experience with utility/DISCOM projects, AMISP programs, billing engines, prepaid metering, NMS/OMS, energy accounting, cloud services, CI/CD, Docker/Kubernetes, observability, and cybersecurity for smart metering systems.

Education Requirement

Bachelor’s degree in Computer Science, IT, Electronics & Communication, Electrical Engineering, or a related engineering discipline is preferred. Candidates with strong hands-on HES/MDM, AMI, DLMS/COSEM, IoT, or utility software experience may be considered even with a different academic background.

About the Role

The Smart Operations (Smart Ops) division is seeking a seasoned Senior Data Engineer / Lead Data Engineer to design and scale our next-generation industrial data platform. In this role, you will architect the real-time data backbone that processes high-frequency iHistorian telemetry, IoT sensor feeds, and complex manufacturing data across global operations.

You will be the core technical owner of our Databricks Lakehouse ecosystem, responsible for building optimized, cost-efficient streaming and batch pipelines that deliver high-trust data to our Advanced Analytics, MLOps, and Business Intelligence teams.

Key Responsibilities

• End-to-End Lakehouse Architecture: Design, implement, and scale a robust Medallion Architecture (Bronze-Silver-Gold) on Azure Databricks and Delta Lake.
• Real-Time IoT Ingestion: Build fault-tolerant, low-latency streaming pipelines to ingest high-frequency telemetry and machine sensor data.
• Enterprise Governance: Enforce data security, fine-grained access controls, and comprehensive lineage tracking using Unity Catalog.
• Performance Tuning & Cost Optimization: Actively profile, tune, and optimize Spark workloads (utilizing partitioning, liquid clustering, AQE, and Photon) to drastically minimize cloud compute costs and pipeline runtimes.
• CI/CD Automation: Modernize data platform deployments across Dev/QA/Prod environments using Infrastructure as Code (IaC) and Databricks Asset Bundles (DABs).
• Cross-Functional Collaboration: Partner closely with manufacturing stakeholders, supply chain analysts, and data scientists to provide curated datasets for predictive maintenance, anomaly detection, and operational KPI reporting.

Technical Skills Breakdown

Mandatory Skills (Must-Haves)

• Domain Context: Minimum 5+ years of Data Engineering experience with direct exposure to Heavy Manufacturing, Automotive/Commercial Vehicles, Industrial Automation, or Global Logistics data environments.
• Databricks Ecosystem: Deep architectural mastery of Azure Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog governance.
• Streaming & CDC: Proven hands-on experience engineering real-time data pipelines using Apache Kafka, Azure Event Hubs, or Spark Structured Streaming, alongside Change Data Capture (CDC) tools (e.g., Debezium).
• Cloud Infrastructure: Strong proficiency within the Microsoft Azure stack—specifically Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Cores), Azure Key Vault, and Azure Monitor.
• Advanced SQL & Python: Expert-level Python programming and complex SQL optimisation (advanced indexing, partition pruning, performance tuning of massive datasets).
• DevOps Automation: Hands-on experience setting up production CI/CD pipelines using Git, Azure DevOps, GitHub Actions, or Databricks Asset Bundles (DABs).

Good to Have Skills (Nice-to-Haves)

• Professional Certifications: Databricks Certified Data Engineer Professional (highly preferred), Databricks Certified Associate Developer for Apache Spark, or Microsoft Certified: Azure Data Engineer Associate (DP-203).
• Industrial & ERP Systems: Familiarity with industrial data systems (SCADA, PLC, iHistorian), heavy vehicle telemetry standards (MDF/MF4 files), or deep integration experience with enterprise ERPs (SAP S/4HANA, SAP BW).
• MLOps & GenAI: Exposure to working alongside Machine Learning pipelines, dataset feature engineering, or implementing Generative AI frameworks (RAG, Vector Databases like FAISS/Weaviate) for semantic query self-service.
• Infrastructure as Code (IaC): Basic proficiency with Terraform for provisioning cloud data infrastructure.

Education & Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Information Technology, Electrical/Electronics Engineering, or a closely related technical field.

Full Stack Engineers 

Location: Chennai 

Experience: 3+ Years 

Required Skills: 

• Strong knowledge of C#, .NET Core, Azure DevOps 
• Working knowledge of the JS frameworks – React, Angular etc 
• Experience in container-based development, AKS, Service Fabric etc 
• Experience in messaging queue like RabbitMQ, Kafka 
• Experience in Azure Services like Azure Logic Apps, Azure Functions 
• Experience in databases like SQL Server, PostgreSQL 

Job Description: 

We are looking for experienced product development engineers/experts who could join our cloud product engineering team to build the next gen applications for our global customers. If you are a technology enthusiast and have passion to develop enterprise cloud products with quality, security, and performance, we are eager to discuss with you about the potential role. 

Responsibilities: 

• Understand the business requirements and technical constraints and architect/design/develop. 
• Participate in the complete development life cycle. 
• Review the architecture/design/code of self and others. 
• Develop enterprise application features/services using Azure cloud services, C# .NET Core, ReactJS etc, implementing DevSecOps principles. 
• Own and be accountable for the Quality, Performance, Security and Sustenance of the respective product deliverables. 
• Strive for self-excellence along with enabling success of the team/stakeholders. 

Requirements: 

• 3 to 12 years of experience in developing enterprise software products 
• Knowledge of reporting solutions like PowerBI, Apache SuperSet etc 
• Knowledge of Micro-Services and/or Micro-Frontend architecture 
• Knowledge of Code Quality, Code Monitoring, Performance Engineering, Test Automation Tools