Senior QA Engineer
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Job Description
Senior Agentic QA Engineer building AI-powered QA automation for Intetics’ cybersecurity client. Developing agents, Playwright/Selenium tests, MCP workflows, and CI failure triage.
Responsibilities:
- Design, build, and run AI agents across the QA lifecycle, including requirement and ticket analysis, test case design, test generation, execution, and failure triage
- Build multi-agent pipelines that transform Jira tickets into reviewed test cases and automated tests merged into CI
- Use MCP servers such as Playwright MCP for agent-driven browser interaction, exploratory testing, and self-healing locators
- Build, maintain, and version prompts, tools, context, and skills used by agents
- Define human-in-the-loop checkpoints and agent trust guardrails
- Extend Selenium and Playwright automation frameworks and support Playwright migration
- Convert manual regression cases to automated tests
- Write maintainable Java, Python, and TypeScript test code using patterns such as Page Object Model
- Integrate agent-generated and agent-maintained tests into CI/CD with parallel execution and reporting
- Build evaluation sets and metrics for agent output, including accuracy, false positives, flake rate, and time saved
- Test MCP servers or AI agent tools, including responses, data accuracy, authentication, permissions, error handling, and real-agent behavior
- Reduce hallucinated assertions, brittle generated tests, and low-value coverage
- Investigate failures and distinguish product defects, test instability, environment issues, and agent mistakes
- Apply security-minded practices to agent tooling, including secrets handling, data access limits, and prompt-injection risk
- Partner with QA, development, and product teams to identify high-value agent use cases
- Teach QA engineers through pairing, documentation, and reusable templates
- Share results, trade-offs, and lessons learned with engineering leadership
Requirements:
- 8+ years in software quality assurance, with at least 5 years in test automation
- 1+ years of hands-on experience bringing agentic AI into a QA team's real workflow
- Built at least one agent or multi-agent workflow that generates, runs, or triages tests in a production QA process, with measurable output
- Hands-on experience with MCP servers and AI coding agents such as Claude Code, Cursor, or GitHub Copilot
- Strong programming skills in Java, Python, and TypeScript
- Deep hands-on experience with Playwright and Selenium WebDriver automation frameworks and the Page Object Model
- Strong manual and exploratory testing skills
- Solid API testing experience and working SQL skills
- Experience running automation reliably in CI/CD pipelines and with Git
- Judgment regarding human validation of AI output
- Strong debugging skills and experience driving complex or intermittent failures to root cause
- Preferred: custom MCP servers or agent tools; agent frameworks or SDKs; LLM evaluation design; Selenium-to-Playwright migration; cybersecurity or security-focused products; security testing and LLM risks; data-heavy platforms, ETL pipelines, or Jira, ServiceNow, Tenable, or Qualys integrations; technical presentation and QA mentoring; Agile/Scrum
- Self-starter with ownership mindset
- Curious and skeptical approach to agent capabilities
- Ability to learn new tools quickly and coach others
- Willingness to fail fast, measure, and iterate
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