Weekday AI
SeniorQAEngineer(Automation+Data+Kafka)
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“Senior QA Engineer (Automation + Data + Kafka) at Weekday AI. Skills: Test automation, Kafka, Data validation, API testing. Design comprehensive test strategies. Implement comprehensive test strategies”
What You'll Achieve.
Ensure reliability across systems; Validate data accuracy; Validate system performance; Validate platform stability; Ensure seamless data flow
Industry & Context.
Analytical; Debugging; Problem-solving
What They're Looking For.
Must Have
5+ years of experience in QA Engineering, Expertise in API automation testing, Hands-on experience working with Kafka, Deep understanding of ETL testing, Experience validating data across multiple layers, Knowledge of integration testing, Experience working with CI/CD tools
Nice to Have
Familiarity with AVRO schemas, Schema Registry knowledge, Contract testing methodologies knowledge, Knowledge of cloud-based data platforms, Experience with performance testing, Soak testing experience, Idempotency validation experience, Data consistency testing experience
What You'll Do.
Design comprehensive test strategies
Implement comprehensive test strategies
Validate API functionality
Validate API performance
Validate API reliability
Test Kafka-based event pipelines
Perform end-to-end data validation
Build automated test suites
Maintain automated test suites
Optimize automated test suites
Conduct data reconciliation
Validate AVRO schemas
Manage contract testing
Execute integration testing
Support User Acceptance Testing
Support defect management
Support release validation
Support production readiness activities
Collaborate with development teams
Identify quality issues
Troubleshoot quality issues
Resolve quality issues
Participate in CI/CD processes
Ensure automated quality gates
Monitor test coverage
Monitor quality metrics
Monitor release risks
Drive continuous improvement initiatives
How You'll Work.
Team & Collaboration
Work with engineering teams; Work with product teams; Work with business teams
Full Job Description
**This role is for one of the Weekday's clients** **Salary range: Rs 1600000 - Rs 2800000 (ie INR 16-28 LPA)** Experience: 5+ yrs Location: India Job Type: Remote (India) We are looking for a highly skilled QA Engineer with strong expertise in test automation, API validation, Kafka event-driven architectures, and data quality assurance. In this role, you will own the end-to-end quality strategy for complex distributed systems and data integration platforms, ensuring reliability across APIs, event pipelines, databases, and downstream data warehouses. You will work closely with engineering, product, and business teams to validate data accuracy, system performance, and platform stability throughout the software development lifecycle. The ideal candidate brings a strong blend of manual and automated testing capabilities, deep understanding of ETL testing and data validation, and hands-on experience testing microservices and event-driven applications. This position offers an opportunity to play a critical role in building high-quality, scalable platforms by driving robust testing frameworks, improving release confidence, and ensuring seamless data flow across interconnected systems. **Requirements** ### Key Responsibilities * Design and implement comprehensive test strategies covering unit, integration, contract, system, and end-to-end testing. * Validate API functionality, performance, and reliability using automation frameworks and testing tools. * Test Kafka-based event pipelines, including producers, consumers, message flows, and event processing logic. * Perform end-to-end data validation across APIs, Kafka streams, databases, and data warehouses. * Build, maintain, and optimize automated test suites using frameworks such as PyTest, Selenium, Jest, or equivalent tools. * Conduct ETL testing and data reconciliation to ensure consistency and accuracy across distributed systems. * Validate AVRO schemas and manage contract testing for schema compatibility and versioning
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