Automation with AI Test engineers

Role Overview
We are seeking a highly skilled Senior Automation Engineer to take ownership of our automation ecosystem. The ideal candidate will design robust test strategies and spearhead the integration of AI-driven workflows to accelerate development, improve code quality, and increase the velocity of our CI/CD pipelines. You will serve as a force multiplier for the team, balancing deep technical execution with the architectural oversight of AI-assisted development.
Success Metrics
Success in this role will be defined by a measurable reduction in software delivery cycle time and a consistent increase in automated test coverage across our core services, ultimately enhancing the reliability and release velocity of the product.

Required Experience:

●5+ years of hands-on experience in automation engineering.

●AI Agent Tooling: Proven, hands-on experience utilizing AI agents such as Devin and Codex to accelerate code generation, complex refactoring, and automated debugging cycles.

●Proven expertise in web service/API automation and white-box testing.

●Demonstrated ability to work independently in a fast-paced environment.

Technical Skills:

●Languages: Strong proficiency in Java and Groovy.

●Frameworks: Playwright (preferred) or Selenium; TestNG.

●CI/CD & DevOps: Deep familiarity with Jenkins, Maven, and Git.

●Cloud: Experience with AWS or Azure.

●OS: Proficient in Linux-based environments.

Key Competencies:

●Analytical Rigor: Excellent debugging skills for complex system issues.

●Time Management: Ability to prioritize effectively to "automate at the speed of development."

●Proactive Learning: A commitment to staying at the forefront of emerging tools and technologies.

●Communication: Clear, concise communication to explain complex automation strategies to technical and non-technical stakeholders.

Key Responsibilities

1. AI-Driven Engineering & Innovation

●AI Collaboration: Partner with AI coding agents to accelerate test development by translating requirements into scaffolded code, navigating complex codebases, and iterating through rapid debug cycles.

●AI Governance: Author and maintain "AI Skill Guides" that define codebase conventions, reusable utility libraries, and established framework patterns for AI agents to follow.

●Quality Oversight: Review all AI-generated code for correctness, domain accuracy, and architectural alignment with existing systems.

●Domain Expertise: Leverage AI for boilerplate generation and iterative debugging, providing the critical human context, design decisions, and risk assessments that models cannot infer independently.

●Impact Reporting: Audit and refine AI-generated impact reports and test cases, ensuring comprehensive coverage and challenging risk ratings where necessary.

●Strategic Mindset: Utilize AI as a force multiplier, ensuring it remains an accelerator for high-quality outcomes rather than a substitute for sound engineering judgment.

2. Automation Development & Strategy

●Develop and maintain scalable automation frameworks for web service/API testing and non-UI systems.

●Author, execute, and evolve manual test plans into robust, reusable automated test suites.

●Build custom internal tools to bridge gaps in DevOps processes and optimize development pipelines.

3. Testing, Debugging, & Performance

●Own features end-to-end; identify and resolve failures stemming from coding errors, environment instability, or application bugs.

●Execute performance testing initiatives using tools such as Apache JMeter or LoadRunner to ensure system resilience.

●Maintain accurate test reporting, including coverage metrics, pass/fail trends, and defect analysis.

4. Cloud, CI/CD, & Collaboration

●Deploy and test applications in cloud environments (AWS/Azure) with a focus on automated infrastructure.

●Manage and support CI/CD environments (Jenkins) to ensure reliable, high-speed build-to-deployment cycles.

●Collaborate with cross-functional teams (Development, QA, DevOps) to align automation efforts with the broader product lifecycle.