QA Tech Lead

This is a fully remote position, open to applicants in India.

📋 Description

• Lead and guide automation engineers while offering technical support to the broader testing team.

• Facilitate skill enhancement within the team, including cross-training manual testers in automation and AI-assisted scripting.

• Work collaboratively with Development, Customer Success, Product Management, Design, and Product Support across various time zones.

• Establish the risk-based testing strategy and criteria for automated, manual, and redundant tests.

• Oversee automation test plans and standards throughout all product launches.

• Develop and sustain quality metrics, KPIs, and testing dashboards; provide updates to the Director of Engineering.

• Define test scope, objectives, success criteria, and resource estimates in collaboration with stakeholders.

• Identify, evaluate, and alleviate quality risks during sprint cycles and pre-release dry runs.

• Design, construct, and maintain scalable automation frameworks, including a custom Playwright framework.

• Create and perform automated system, integration, regression, and API tests.

• Act as the technical point of contact and subject matter expert on code and system architecture.

• Identify manual test cases suitable for automation and prioritize their transition with the Test Lead.

• Shift automated suites to tiered CI/CD quality gates in GitHub Actions, including Smoke, Sanity, and Nightly Regression suites.

• Ensure test suite health by addressing flaky tests and monitoring automation coverage.

• Manage Playwright and Zephyr Scale integration through automated JUnit XML reporting pipelines.

• Oversee test environments and data management for testing purposes.

• Conduct manual testing when automation is not feasible, handle defect triage and resolution, and facilitate UAT.

• Contribute automation coverage and outcomes to validation documentation, including Test Plans, Test Summary Reports, Traceability Matrices, and UAT Scripts.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related discipline.

• At least 7 years of experience in software testing or QA engineering, with a minimum of 2 years in a technical or automation leadership position.

• Practical experience testing large-scale enterprise SaaS web applications and complex software systems, including RBAC, multi-tenant data isolation, and API integration layers.

• Experience in leading automation engineers and collaborating closely with manual testers.

• Strong understanding of manual testing methodologies, including boundary value analysis, equivalence partitioning, exploratory testing, and regression planning.

• Ability to evaluate automation ROI and suggest a balance of manual and automated testing based on risk, release cadence, and product maturity.

• Expert-level proficiency in Playwright (TypeScript/JavaScript or Python), including building frameworks from scratch using POM.

• Familiarity with other automation tools such as Selenium and REST Assured.

• Strong programming skills in TypeScript, Python, and JavaScript.

• Working knowledge of database technologies.

• Proficiency in performance testing tools like JMeter and LoadRunner.

• Experience with CI/CD pipelines, DevOps practices, and test integration strategies.

• Expertise in the SDLC and test management tools such as Jira and Zephyr Scale.

• Hands-on experience in automating test execution uploads to Zephyr Scale through APIs.

• Excellent verbal and written communication abilities, with the capacity to explain technical subjects to non-technical team members.

• Ability to balance long-term automation architecture with immediate release requirements.

• Leadership skills, including delegating and prioritizing tasks, providing constructive feedback, and fostering team member development.

• Commitment to keeping abreast of industry trends and emerging testing technologies.

• Experience in fast-paced, innovative technology settings.

• Experience working in collaborative, agile teams that consistently deliver high-quality software to production.

• Strong business acumen and understanding of the impact of quality on customer success and business outcomes.

• Experience testing in regulated environments such as GxP, computer system validation, or 21 CFR Part 11.

• Experience validating AI/LLM-powered features and assessing non-deterministic outputs.

• Experience configuring AI coding assistants like Claude for QA scripting workflows.

• Background in lightweight DevOps tasks, such as Docker and managing staging/test environments.

🏝️ Benefits

• Mentorship from experts in AI and business strategy.

• Clear opportunities for career advancement.

• Exposure to LLMs and conversational AI technologies.

• Competitive compensation and benefits package.

• A results-driven, innovative work culture.