Senior QA Engineer, AI-DNA, $100k/year USD

Hook

You've spent years mastering test automation — now imagine applying that expertise in a landscape where GenAI tools like Claude Code, Cursor, and OpenAI API aren't just buzzwords but daily instruments in your workflow. If you're the kind of engineer who sees quality not as a gate but as a competitive advantage, and you want to push the boundaries of what modern QA looks like, this is the role you've been waiting for.

What you will be doing

• Designing and executing AI-augmented test strategies — leveraging GenAI tools (OpenAI API, Claude Code, Claude skills, Cursor) to accelerate test creation, expand coverage, and detect edge cases that manual approaches miss.
• Building and maintaining robust Selenium-based automation frameworks across web applications, ensuring regression suites run reliably at scale.
• Analyzing test data and production telemetry to identify failure patterns, prioritize defect fixes, and provide actionable quality metrics to engineering leadership.
• Integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps) so that every commit is validated before it reaches production.
• Mentoring junior QA engineers on best practices in automation architecture, GenAI-assisted testing, and data-driven quality decisions.
  
  

What you will NOT be doing

• Manual-only testing drudgery — you won't spend your days clicking through the same UI flows. Automation and AI handle the repetitive work; you focus on strategy and edge cases.
• Working in a siloed QA department that only hears about features after they're built. You're embedded with engineering from design through deployment.
• Maintaining legacy test suites no one cares about — we actively prune and refactor; every test earns its place in the pipeline.
• Begging for infrastructure or tooling budget — GenAI tools, cloud resources, and modern CI/CD platforms are already provisioned and encouraged.
• Writing 50-page test plans that no one reads — documentation is lean, living, and tied directly to automated checks.
  
  

Responsibilities

• Own the end-to-end test automation strategy for assigned product areas, including framework selection, test design, and execution.
• Develop, maintain, and optimize Selenium-based test suites in Python, Java, or JavaScript.
• Integrate GenAI tools into the QA workflow to generate test cases, analyze logs, and accelerate exploratory testing.
• Configure and maintain CI/CD pipeline test stages across Jenkins, GitHub Actions, or Azure DevOps.
• Perform root-cause analysis on test failures and production incidents; deliver data-backed recommendations to reduce defect escape rate.
• Define and report quality KPIs (test coverage, defect density, mean time to detect) with clear dashboards.
• Conduct code reviews of test automation pull requests and enforce coding standards.
• Collaborate with product managers and developers to define acceptance criteria and testability requirements before development begins.
  
  

Requirements

• 5+ years of professional experience in software QA with at least 3 years focused on test automation.
• Hands-on proficiency with Selenium WebDriver (Page Object Model, waits, cross-browser testing).
• Strong programming skills in Python, Java, or JavaScript for scripting and framework development.
• Demonstrated experience using GenAI tools (OpenAI API, Claude Code, Cursor, or comparable) to enhance engineering workflows.
• Working knowledge of at least one CI/CD platform: Jenkins, GitHub Actions, or Azure DevOps.
• Solid data analysis skills — comfortable with SQL, log parsing, and visualization tools (Grafana, Tableau, or equivalent).
• Excellent written and verbal communication; able to translate test results into business-impact language.
• Self-directed and comfortable working asynchronously in a remote-first environment.
  
  

Nice to Have

• Experience with API testing frameworks (Postman, REST Assured, or Playwright).
• Familiarity with performance/load testing tools (JMeter, k6, Locust).
• Contributions to open-source test automation projects.
• Knowledge of containerized test environments (Docker, Kubernetes).
• Background in security or accessibility testing.
• Experience with mobile test automation (Appium).
  
  

What you will learn

• Cutting-edge GenAI-assisted QA methodologies — you'll develop and refine workflows that most QA teams haven't even experimented with yet.
• Large-scale pipeline engineering — deep exposure to production-grade CI/CD architectures serving multiple product lines.
• Data-driven quality strategy — learn to build executive-facing quality dashboards and use statistical methods to predict defect trends.
• Cross-functional product thinking — working closely with product and engineering leadership will sharpen your ability to influence roadmap decisions through quality insights.
• Mentorship and leadership skills — opportunities to lead QA initiatives and grow into a Staff QA Engineer or QA Manager track.