Senior Quality Assurance Engineer

About the Role
We’re looking for a Senior QA Engineer who can bring AI into our automation framework to reduce test-authoring and maintenance time, and help streamline how we estimate QA effort. This role isn’t just about writing automated tests — it’s about rethinking how automation gets built, so the team spends less time on repetitive scripting and more time on high-value testing.
Responsibilities
Design, build, and maintain scalable automation frameworks (UI, API, and/or mobile) using modern tools (e.g., Playwright, Selenium, Cypress, Appium, RestAssured).
Integrate AI/LLM-based tooling into the automation pipeline to:
Auto-generate or suggest test scripts/test data from requirements, user stories, or existing test cases.
Speed up locator/selector maintenance and reduce flaky test upkeep.
Summarize test failures and triage root causes faster.
Identify repetitive or manual QA activities and propose AI-assisted or scripted solutions to cut turnaround time.
Help refine and reduce QA estimation timelines by identifying where automation and AI tooling can replace manual effort.
Build and maintain CI/CD test pipelines (Jenkins, GitHub Actions, GitLab CI, or similar).
Collaborate with developers to embed automated tests early in the development cycle (shift-left testing).
Mentor other QA engineers on automation best practices and AI-assisted testing techniques.
Continuously evaluate new AI-powered testing tools (e.g., self-healing test tools, AI test-generation platforms) and recommend adoption where valuable.
Qualifications
3–5 years of QA experience with strong hands-on automation background.
Proficiency in at least one automation framework/tool (Playwright, Selenium, Cypress, Appium, etc.).
Solid programming/scripting skills (JavaScript/TypeScript, Python, or Java).
Practical experience using AI tools/APIs (e.g., OpenAI, Claude, Copilot, or similar) to assist in code/test generation, or a strong interest and aptitude to build this capability.
Experience with API testing (Postman, RestAssured, or similar).
Experience integrating automated tests into CI/CD pipelines.
Strong understanding of test estimation practices and ability to identify automation ROI.
Good understanding of software testing life cycle (STLC) and QA best practices.
Required Skills
Experience building custom scripts/tools that use LLMs for test case generation, data generation, or log/error analysis.
Familiarity with prompt engineering for test-related use cases.
Experience with self-healing automation frameworks or AI-augmented testing platforms (e.g., Testim, Mabl, Functionize).
Exposure to performance or load testing tools.
Pay range and compensation package
What Success Looks Like
Reduced automation development and maintenance time through AI-assisted workflows.
More accurate and faster QA effort estimates.
A more resilient, scalable automation framework that requires less manual upkeep.

Work arrangement
No