Weekday AI

SeniorQAEngineer(Automation+Data+Kafka)

₹16–28L India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Problems you'll solve

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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