QA Automation Engineer (SDET 2)

Roles and Responsibilities :

• Take ownership of quality for features across frontend and backend systems
• Participate in requirement discussions and identify edge cases early

• Design and implement automation frameworks for UI, API and integration testing
• Ensure high test coverage across critical user journeys and backend services
• Continuously improve test reliability, execution speed and maintainability

• Collaborate with developers to embed testing early in the development lifecycle
• Drive practices like test-driven development (TDD) and behavior-driven development (BDD)

• Build automated tests for microservices, APIs, and data workflows
• Validate business logic, integrations, and data consistency

• Integrate automated test suites into CI/CD pipelines
• Ensure fast feedback loops and prevent regressions in production

• Work closely with Engineering, Product and DevOps teams to ensure smooth releases
• Clearly communicate quality risks and testing status to stakeholders

• Use AI tools to accelerate test creation, debugging, and coverage analysis
• Build intelligent test strategies using data and AI-assisted tooling

Required Skill Set :

• B.E / B.Tech in Computer Science or equivalent
• 3 to 5 years of experience in QA with a strong focus on automation

• Strong programming skills in Java / JavaScript / Python
• Experience with UI automation tools (Selenium, Playwright, Cypress, etc.)
• Experience with API testing tools (Rest Assured, Postman, Super test, etc.)

• Strong understanding of REST APIs, microservices architecture
• Experience validating backend systems, data flows, and integrations

• Solid understanding of test design techniques, test strategies and quality metrics
• Experience with regression, integration and system testing

• Experience integrating tests into CI/CD pipelines (Jenkins, GitHub Actions, etc.)
• Familiarity with version control systems like Git

• Working knowledge of SQL and database validation
• Strong debugging and root cause analysis skills

• Comfortable using AI tools (Copilot, Claude, etc.) to improve testing productivity
• Ability to evaluate and validate AI-generated test cases and scripts

Good to Have Skill Set

• Experience with performance testing tools (JMeter, k6, etc.)
• Experience testing event-driven systems (Kafka, RabbitMQ)
• Exposure to mobile app testing
• Experience with Docker / Kubernetes environments
• Experience building internal QA tools or frameworks

This QA Automation Engineer role focuses on building automated coverage and validating product quality across frontend and backend systems. You’ll work across UI, APIs, integrations, and CI/CD, while applying testing practices early in development and using AI-assisted tools to improve test work.

Role at a glance

Skills mentioned

What you will likely work on

• Assess feature requirements and identify edge cases across frontend and backend changes.
• Create and maintain UI, API, and integration automation frameworks and coverage for key journeys and services.
• Validate microservices, business rules, integrations, backend data flows, and data consistency.
• Improve test execution speed, reliability, maintainability, and quality measurements.
• Integrate automated checks into CI/CD pipelines to support fast feedback and reduce production regressions.
• Work with developers to bring testing earlier into delivery, including TDD and BDD practices.
• Coordinate with Engineering, Product, and DevOps on releases and communicate testing status and quality risks.
• Use AI-assisted tools for test creation and debugging, and review generated cases and scripts.

Good fit signals

• Has 3–5 years of QA experience with a strong emphasis on automation.
• Can program in at least one of Java, JavaScript, or Python and has used UI and API testing tools.
• Understands REST APIs and microservices, and has validated backend systems, data flows, and integrations.
• Applies test design, regression, integration, and system testing, with practical debugging and root-cause analysis.
• Communicates quality risks clearly and collaborates across engineering, product, and DevOps; performance, event-driven, mobile, or container testing is helpful but not required.