Senior Test Automation Engineer

About the Role

We’re looking for a Senior QA Automation Engineer to lead our shift from manual QA to a modern, automation-first, CI/CD-integrated and AI-assisted quality engineering function. This role owns the full testing lifecycle — from test design through automated execution, CI/CD integration, and release quality gates — and acts as the technical lead for the QA team.

Responsibilities
Own end-to-end automation testing and drive the shift from manual to automation-first QA.
Design, build, and maintain scalable, reusable automation frameworks .
Establish testing across unit, API, integration, UI, regression, smoke, and performance levels; define what to automate vs. keep manual.
Build strong API/backend testing capability — REST APIs, JSON/XML, DB validation, contract and microservices testing.
Integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Docker).
Evaluate and introduce practical AI-assisted testing — test generation, self-healing automation, intelligent failure/root-cause analysis, and LLM-based workflows (e.g., requirements → test cases, failure → RCA).
Define and track QA metrics: automation coverage, defect escape rate, flaky test %
Implement automated reporting and quality gates that block releases when thresholds aren’t met.
Set framework and coding standards for automation, test data, environments, and version control.
Mentor manual testers and QA engineers, building a strong automation-first culture within the team.

Required Technical Skills
Mandatory
5+ years of software QA experience, including significant hands-on automation experience.
Strong programming skills in at least one of: Java, Python, JavaScript/TypeScript, or C#.
Hands-on experience with Playwright,Selenium, Cypress, or equivalent frameworks.
Solid API testing experience using Postman, RestAssured, or similar tools.
Working knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps) and Git.
SQL/database testing and validation experience.
Experience with Agile/Scrum development and integrating tests into build pipelines.
Strong analytical and troubleshooting skills to identify root causes of failed automation.

Good to have
Exposure to AI-assisted testing, LLM-based QA workflows, or AI testing agents.
Performance testing (JMeter) and mobile automation (Appium).
Test orchestration, parallel execution, and visual regression testing.
Prior experience mentoring or leading a QA team.

Education
Bachelor’s or Master’s degree in Computer Science, IT, Engineering, or an equivalent technical discipline. Relevant professional experience may substitute for formal education.

Ideal Candidate Profile
We are looking for someone who thinks like a:
QA Engineer + Automation Engineer + AI-enabled Test Engineer rather than a traditional manual tester.