Senior SDET – Backend & Data Pipelines
Location: New Delhi, India; Delhi, India
Department: Engineering
Experience: 3-6 years
- Generates $100M+ in Annual Recurring Revenue (ARR)
- Serves 4,000+ customers globally
- Has 800+ employees across North America, Europe, and APAC
- Operates from 11 global offices
- Is valued at approximately $400–500M
Job Summary
- Ensure high quality and reliability of our data pipeline systems with a strong focus on backend validation
- Analyze, validate, and debug complex data flows across services, APIs, and pipelines
- Identify, confirm, and document bugs with clear reproduction steps, especially in distributed systems
- Design and build automation frameworks for backend, API, and data validation
- Develop and maintain API, integration, and data validation test suites
- Own performance and load testing using tools like JMeter to validate system scalability
- Work closely with Product, Engineering, and Data teams to understand pipeline logic and define test strategies
- Own QA activities within the scrum team including planning, execution, and reporting
- Act as the first point of contact for debugging customer data issues, RCA, and resolution
- Validate deployments across environments and ensure data correctness post-release
- Drive best practices in test automation, observability, and data validation
- Contribute to internal tools that improve QA efficiency for backend and data systems
- 3 to 6 years of experience in QA with a strong focus on backend and API testing
- Strong understanding of distributed systems and data pipelines
- Hands-on experience with API testing and automation (Rest Assured or similar)
- Solid experience in performance and load testing (JMeter or equivalent)
- Strong knowledge of databases (SQL + NoSQL) with the ability to validate large datasets
- Good understanding of message queues and streaming systems (Kafka or similar)
- Experience with data warehousing tools (BigQuery or similar)
- Proficiency in Java or JavaScript for automation
- Hands-on experience in debugging backend systems and identifying root causes
- Familiarity with CI/CD tools (Jenkins), Git, and containerization (Docker)
- Experience in building or maintaining QA infrastructure (e.g., Selenium Grid or similar)
- Strong analytical skills to understand complex system interactions
- Ability to work independently and own QA for backend-heavy systems
- Experience with cloud platforms (GCP / AWS)
- Understanding of caching mechanisms and system performance tuning
- Exposure to GenAI applications or AI-driven testing workflows
- Experience with modern dev tools like Cursor, Windsurf, or similar AI-assisted development tools
- Contributions to open source QA tools or frameworks
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