Senior Test Automation Engineer

IgniteTech; Town of Poland (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

IgniteTech is seeking a Senior Test Automation Engineer in the United States to lead end-to-end automation strategy and to embed GenAI-driven test generation and analysis within our QA processes.

You will build scalable Selenium-based frameworks in Python, Java, or JavaScript, integrate tests into CI/CD pipelines, and mentor junior engineers while partnering with product and development teams on quality criteria.

Qualifications

• 5+ years in software QA, with at least 3 years dedicated to test automation.
• Experience with Selenium WebDriver and cross-browser execution.
• Strong coding ability in Python, Java, or JavaScript for framework development.
• Proven experience applying GenAI tools to engineering workflows.
• Hands-on with CI/CD pipelines (Jenkins, GitHub Actions, or Azure DevOps).
• Data analysis skills: SQL, logs parsing, dashboards (Grafana/Tableau).

Responsibilities

• Own test automation strategy end-to-end for key product areas.
• Harness GenAI tools to generate test cases, parse logs, and accelerate exploratory testing.
• Build and scale Selenium-based frameworks across browsers and environments.
• Integrate automated tests into CI/CD pipelines to validate code changes.
• Analyze test results and production data to inform quality KPIs.
• Review automation code and mentor junior engineers on best practices.

Skills

Selenium WebDriver

Python/Java/JavaScript

GenAI tools

CI/CD pipelines

SQL

Data dashboards

Tools

Page Object Model

Job description

Build the Future of Quality - With AI in Your Toolkit
We're looking for a Senior Test Automation Engineer who's ready to work at the intersection of quality engineering and generative AI. This isn't a traditional QA role - it's a chance to shape how modern teams ship reliable software by combining deep automation expertise with cutting-edge GenAI tools like Claude Code, Cursor, and the OpenAI API.
If you believe quality is a strategic advantage (not just a checkbox), and you thrive in environments where automation, data, and AI converge - keep reading.

What You'll Do

• Own test automation strategy end-to-end for key product areas - from framework architecture to execution and continuous improvement.
• Harness GenAI tools daily to generate test cases, parse logs, surface edge cases, and accelerate exploratory testing in ways most teams haven't tried yet.
• Build and scale Selenium-based frameworks (Python, Java, or JavaScript) that keep regression suites fast, stable, and meaningful across browsers and environments.
• Wire automated tests into CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps - ensuring every code change is validated before it ships.
• Analyze test results and production data to uncover failure patterns, define quality KPIs (coverage, defect density, MTTD), and present actionable insights to engineering leadership.
• Review automation code and mentor junior engineers on framework best practices, GenAI-assisted workflows, and data-driven decision-making.
• Partner with product and dev teams from the design phase - defining acceptance criteria, testability requirements, and quality standards before a single line of code is written.

What Makes This Role Different

• AI-first QA workflow. GenAI tools and cloud infrastructure are already provisioned - no fighting for budget or buy-in.
• Embedded, not siloed. You work alongside engineers from design through deployment, not downstream from them.
• Lean documentation. No 50-page test plans. Every artifact is living, actionable, and tied to automated checks.
• Signal over noise. Test suites are actively pruned - every test earns its spot in the pipeline.

What We're Looking For

• 5+ years in software QA, with at least 3 years dedicated to test automation.
• Selenium WebDriver expertise - Page Object Model, explicit/implicit waits, cross-browser execution.
• Strong coding ability in Python, Java, or JavaScript for framework development and scripting.
• Proven experience with GenAI tools (OpenAI API, Claude Code, Cursor, or similar) applied to real engineering workflows.
• CI/CD familiarity - hands-on with Jenkins, GitHub Actions, or Azure DevOps pipeline configuration.
• Data analysis chops - comfortable writing SQL, parsing logs, and building dashboards with Grafana, Tableau, or comparable tools.