Job highlights

- Playwright (preferred) or Selenium
- Proven,hands-on experience utilizing AI agents such as Devin and Codex to accelerate code generation,complex refactoring,and automated debugging cycles. . .

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.

- Testing, Debugging, Performance Own features end-to-end; identify and resolve failures stemming from coding errors, workplace 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Automation with AI Test engineers (Bengaluru)
🏢 LTM
📍 Bengaluru