Principal Automation Engineer

Description
About the Role

We are seeking a highly skilled and innovative Principal Automation Engineer with deep expertise in modern automation frameworks and hands-on experience leveraging AI agents for intelligent test automation. This role will drive the end-to-end quality engineering strategy, build scalable automation solutions, and champion engineering excellence across product teams. The ideal candidate is a strong technical leader with a passion for delivering high-quality software and improving release velocity through automation and AI-driven testing.

Key Responsibilities

Define and lead the frontend automation strategy aligned with product and platform goals.

Design and develop scalable automation frameworks for UI, API, accessibility, visual regression and performance testing.

Integrate automation into CI/CD pipelines, establishing early quality gates and enabling shift-left adoption.

Introduce and operationalize AI-augmented testing and autonomous test agents to expand coverage and reduce cycle time.

Implement AI-driven techniques for test generation, self-healing, prioritization, and defect prediction.

Drive continuous improvement of automation maturity and quality metrics across teams.

Collaborate closely with engineering, product, UX, DevOps and release teams ensuring seamless delivery.

Mentor automation engineers and influence engineering leadership through best practices and technical standards.

Own large and complex functional areas independently from design through production validation.

Build dashboards and analytics to enable data-driven quality decisions.

Required Skills & Experience

10–15 years of experience in Quality Engineering / Test Automation, with strong focus on frontend platforms.

Strong coding proficiency in JavaScript / TypeScript and modern UI frameworks (React / Angular / Vue).

Expertise in test automation tools: Playwright with TypeScript, Selenium, WebdriverIO, Jest/Mocha.

Experience integrating automation into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, GitLab CI).

Hands-on experience with AI agent automation tools (e.g., TestGPT, Selenium Agent, Devin, autonomous LLM-based frameworks) for test creation & execution.

Working knowledge of containerized and cloud-based execution (Docker, Kubernetes, cloud test grids).

Strong debugging, problem solving, analytical thinking and system architecture understanding.

Excellent communication skills, stakeholder collaboration & ability to influence engineering direction.

Preferred Qualifications

Experience with performance, reliability, visual and accessibility testing.

Proven record building automation for large-scale distributed systems or SaaS products.

Contributions to engineering communities, publications, open-source or thought leadership.

Passion for innovation, engineering craftsmanship and continuous improvement culture.

What We Offer

Opportunity to drive quality transformation and AI-enabled testing at enterprise scale.

A collaborative, inclusive and high-performance engineering culture.

Professional growth, innovation freedom and leadership visibility.

Competitive compensation and benefits package.

Responsibilities
Key Responsibilities

Define and lead the frontend automation strategy aligned with product and platform goals.

Design and develop scalable automation frameworks for UI, API, accessibility, visual regression and performance testing.

Integrate automation into CI/CD pipelines, establishing early quality gates and enabling shift-left adoption.

Introduce and operationalize AI-augmented testing and autonomous test agents to expand coverage and reduce cycle time.

Implement AI-driven techniques for test generation, self-healing, prioritization, and defect prediction.

Drive continuous improvement of automation maturity and quality metrics across teams.

Collaborate closely with engineering, product, UX, DevOps and release teams ensuring seamless delivery.

Mentor automation engineers and influence engineering leadership through best practices and technical standards.

Own large and complex functional areas independently from design through production validation.

Build dashboards and analytics to enable data-driven quality decisions.

Qualifications

Career Level - IC4

---