11+ Sanity testing Jobs in Bangalore (Bengaluru) | Sanity testing Job openings in Bangalore (Bengaluru)

About TradeLab

TradeLab is a leading fintech technology provider, delivering cutting-edge solutions to brokers, banks, and fintech platforms. Our portfolio includes high-performance Order & Risk Management Systems (ORMS), seamless MetaTrader integrations, AI-driven customer

engagement platforms such as PULSE LLaVA, and compliance-grade risk management solutions. With a proven track record of successful deployments at top-tier brokerages and financial institutions, TradeLab combines scalability, regulatory alignment, and innovation to

redefine digital broking and empower clients in the capital markets ecosystem.

Key Responsibilities

• Design, develop, and execute detailed automation & manual test cases based on functional and technical requirements.

• Develop, maintain, and execute automated test scripts using industry-standard tools and frameworks.

• Identify, document, and track software defects, collaborating with developers to ensure timely resolution.

• Conduct regression, integration, performance, and security testing as needed.

• Participate in the planning and review of test strategies, test plans, and test scenarios.

• Ensure comprehensive test coverage and maintain accurate test documentation and reports.

• Integrate automated tests into CI/CD pipelines for continuous quality assurance.

• Collaborate with cross-functional teams to understand product requirements and deliver high-quality releases.

• Participate in code and test case reviews, providing feedback to improve quality standards.

• Stay updated with emerging testing tools, techniques, and best practices.

Must-Have Qualifications

• Proven experience in software testing.

• Strong knowledge of QA methodologies, SDLC, and STLC.

• Proficiency in at least one programming/scripting language used for automation (e.g., Java, Python, JavaScript).

• Experience with automation tools such as Selenium, Appium, or similar.

• Ability to write and execute complex SQL queries for data validation.

• Familiarity with Agile/Scrum methodologies.

• Excellent analytical, problem-solving, and communication skills.

• Experience with bug tracking and test management tools (e.g., JIRA, TestRail).

• Bachelor’s degree in computer science, Engineering, or related field.

Why Join TradeLab?

• Innovative Environment: Join a fast-growing fintech leader at the forefront of transforming the Indian and global brokerage ecosystem with cutting-edge technology.

• Ownership & Impact: Take full ownership of a high-potential territory (Western India) with direct visibility to senior leadership and the opportunity to shape regional growth.

• Cutting-Edge Solutions: Gain hands-on experience with next-generation trading infrastructure, AI-driven platforms, and compliance-focused solutions.

• Growth Opportunities: Thrive in an entrepreneurial role with significant learning potential, professional development, and a steep growth trajectory.

Job Summary

We are seeking a highly skilled GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), Python, ETL, and modern data engineering technologies. The ideal candidate should have hands-on experience designing and building scalable data pipelines using BigQuery, Dataflow, Pub/Sub, Airflow, and modern data lake technologies such as Apache Iceberg or Delta Lake.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.
• Build and optimize data processing workflows using Python and Google Cloud Dataflow (Apache Beam).
• Develop and manage large-scale analytical data models in BigQuery.
• Implement event-driven data ingestion using Google Cloud Pub/Sub.
• Create, schedule, and monitor workflows using Apache Airflow and Autosys.
• Design and implement modern data lake architectures using Apache Iceberg or Delta Lake.
• Optimize query performance, storage, and compute costs in GCP.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with Data Scientists, Analysts, and Application teams to deliver scalable data solutions.
• Troubleshoot production issues and continuously improve pipeline reliability and performance.

Mandatory Skills

• Strong hands-on experience with Google Cloud Platform (GCP).
• Proficiency in Python programming.
• Experience in designing and implementing ETL/ELT pipelines.
• Strong knowledge of BigQuery.
• Experience with Google Cloud Dataflow (Apache Beam).
• Experience with Google Cloud Pub/Sub.
• Hands-on experience with Apache Airflow.
• Experience in job scheduling using Autosys.
• Experience with modern table formats such as Apache Iceberg or Delta Lake.
• Strong SQL and data modeling skills.

Preferred Skills

• Experience with Cloud Storage, Dataproc, Cloud Composer, and Cloud Functions.
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with Docker and Kubernetes.
• Familiarity with Git and Agile/Scrum methodologies.
• Knowledge of data warehousing and dimensional modeling.
• Exposure to streaming and real-time data processing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 4–8+ years of experience in Data Engineering with hands-on expertise in GCP technologies.

Required Experience

• Strong experience in developing enterprise-grade data pipelines using Python and GCP.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Airflow.
• Experience scheduling and monitoring batch workflows using Autosys.
• Experience implementing modern data lake architectures using Apache Iceberg or Delta Lake.
• Strong understanding of ETL best practices, performance tuning, and data optimization.
• Excellent analytical, troubleshooting, and problem-solving skills.

Mandatory Skills

• Google Cloud Platform (GCP)
• Python
• ETL
• BigQuery
• Autosys
• Apache Airflow
• Google Cloud Pub/Sub
• Google Cloud Dataflow (Apache Beam)
• Apache Iceberg / Delta Lake
• SQL & Data Modeling

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Responsibilities :

• Lead the development of the backend systems for our client's first product.
• Build reliable, secure, and performant backend systems.
• Drive test coverage and continuous delivery automation within the team.
• Mentor and provide feedback to teammates.
• You should have a min of 8 years of software development experience and management.
• Can write code that is readable, maintainable, secure, and performant.
• Know the importance of tests and how to approach writing different types of tests, good intuition for REST API design
• Deep understanding of relational databases, transactions, entity-relationship modeling.
• Comfortable writing highly concurrent systems.
• Experienced in using profilers, tuning garbage collection, optimizing SQL queries.

• Golang, Java, Python, Ruby, Node.

Mandatory Face-to-Face Interviews Only Conducted

Work Location: Bangalore - Basavanagudi-WFO

Salary Upto 4 LPA

Job Details:

Employment: Full Time

Location: Basavanagudi, Bangalore

Industry: Education Management, Career Counselling,

Responsibilities:

• Identifying and contacting prospective customers through a variety of channels, such as cold calling, networking, and referrals.

• Creating and putting into practice sales strategies to achieve and exceed revenue goals.

• Keeping up-to-date sales records, reporting on sales indicators, and tracking progress toward goals.

• Working together with cross-functional teams, such as those for product development and marketing, to enhance the general sales process and customer experience.

Requirements:

• Bachelor's degree in business, marketing, or a similar subject is required,
• strong interpersonal and communication abilities.
• strong aptitude for planning and time management
• competent with CRM and Microsoft Office

Perks and benefits:

• Monthly incentives
• Indoor work environment
• Paid time off
• Health insurance
• PF

Additional benefits:

• Laptop
• Mobile
• Internet

Role / Purpose - Lead Developer - API and Microservices

Must have a strong hands-on development track record building integration utilizing a variety of integration products, tools, protocols, technologies, and patterns.

• Must have an in-depth understanding of SOA/EAI/ESB concepts, SOA Governance, Event-Driven Architecture, message-based architectures, file sharing, and exchange platforms, data virtualization and caching strategies, J2EE design patterns, frameworks
• Should possess experience with at least one of middleware technologies (Application Servers, BPMS, BRMS, ESB & Message Brokers), Programming languages (e.g. Java/J2EE, JavaScript, COBOL, C), Operating Systems (e.g. Windows, Linux, MVS), and Databases (DB2, MySQL, No SQL Databases like MongoDB, Cassandra, Hadoop, etc.)
• Must have experience implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee and frameworks such as Spring Boot for Microservices
• Should have Advanced skills in implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee or similar frameworks such as Spring Boot for Microservices 
• Appetite to manage large-scale projects and multiple tracks
•  Experience and knowhow of the e-commerce domain and retail experience are preferred

About us:

Siply helps underserved masses inculcate savings behaviour to build a more productive and financially secure country. Our Vision is to build the Digital Bank for 40 Crore Underserved Indians.

Company Link - https://siply.in/">https://siply.in/

About the Role:

This is the Senior role where you will build systems and infrastructure to enable seamless user experience across all our offerings in the space of Micro-Savings, Micro-Credit, Micro-Insurance, and associated Value-Added Services. You will power the user experiences on the App and translate complex technical issues into Business opportunities.

Responsibilities:

• Build the architecture for our Product platforms and take ownership for deliverables.
• Good Understanding of all stage of software development and also mentoring team.
• Design some of the most advanced & complex software systems / products in the industry.
• Determine technical feasibility of medium to low complexity features or solutions by evaluating problem, possible solutions and technology requirements.
• Exercise judgement in prioritizing tasks and selecting methods and techniques for obtaining solutions.
• Collaborate and work closely with Engineering, Product and Design team.

Requirements:

• 4 to 7 years of experience in software product development.
• Degree in Computer Science or related field from top tier universities is preferred.
• Excellent abstraction, coding and system design skills.
• Strong hands-on technology experience building and running large scale systems handling multi-million sessions/transactions per day.
• Strong experience in large scale Database systems like rdbms & NoSQL stores.
• Excellent programming skills in Java/GO/NodeJS and expertise in multi- threading and performance-oriented programming.

Join us to be a part of our Growth Journey!

• 3 years experience working on Python, Django and DRF (must have projects)
• Back-end Development, Third Party SDK Implementation, CI/CD
• Pipeline with AWS, Containerization of Server, Caching, Micro-service Implementation
• Architecture design of the web applications.
• Implementation of a robust set of services and APIs to power the web application.
• Building reusable code and libraries for future use.
• Optimization of the application for maximum speed and scalability.
• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications.
• Integration of user-facing elements developed by front-end developers with server-side logic.
• Implementation of security and data protection.
• Translation of UI/UX wireframes to visual elements

• Build robust & scalable web applications
• Participate in product design, development, verification, troubleshooting & delivery of web applications.
• Design and create relational database schema & application framework as needed
• Work with a worldwide team to integrate the product to meet the requirement

Required Qualifications:

• Degree in Computer Science from a top-tier institution
• Relevant full-time work experience of 4-8 years
• Strong foundation in computer science, with solid competencies in object-oriented software design patterns, software QA methodologies, processes, and test automation.
• Ability to self-teach.

Mandatory Technical Skills:

• PHP, Javascript/AJAX, SOAP/REST, GIT
• MySQL/NoSQL
• Linux
• Software development life cycle (SDLC)

Desirable Technical Skills:

• Linux scripting