Role Overview

We are seeking a Lead Test Automation Engineer who operates at the intersection of modern test automation and Agentic AI systems. This role focuses on designing workflows where AI agents can deliver tests end-to-end while ensuring quality through robust guardrails, validation systems, and security practices. The role is critical in enabling teams to scale productivity and deliver high-quality software in an AI-native development environment.

Impact of the Role

- Enable teams to scale productivity in an AI-native development environment
- Ensure delivery of high-quality software through robust guardrails and validation systems
- Drive adoption of AI-driven testing workflows and improve reliability of AI-generated outputs

Technology Platforms You Will Work On
- Test frameworks: JUnit, Cucumber, RestAssured, Mock frameworks
- UI automation tools: Selenium, Playwright, Cypress
- API testing and backend validation systems
- SQL for data validation and debugging
- Java or similar programming languages
- Agentic AI systems and workflows (e.g., AGENTS.md)

Key Responsibilities
- Design and implement agentic workflows for end-to-end test delivery using AI agents
- Define and maintain guardrails such as AGENTS.md, validation checkpoints, and test frameworks
- Architect and scale UI and API test automation frameworks
- Write clear, maintainable, and reusable test specifications
- Critically evaluate AI-generated code and test outputs for accuracy and completeness
- Identify and mitigate AI-related security risks such as over-permissions, insecure dependencies, and data leakage
- Establish metrics to measure team productivity and AI impact
- Mentor team members on modern QA practices and AI-driven development workflows




- Review the work from junior members in the test automation team and help them grow to use Agentic AI workflows

Qualifications
- Strong experience with test frameworks: JUnit, Cucumber, RestAssured, Mock frameworks
- Expertise in UI automation tools such as Selenium, Playwright, or Cypress
- Solid understanding of API testing and backend validation strategies
- Strong SQL skills for data validation and debugging
- Proficiency in Java or similar programming languages
- Understanding of Agentic AI systems, workflows, and prompt/instruction design (e.g., AGENTS.md)
- Ability to design test strategies for AI-generated code and workflows
- Experience critically assessing AI outputs and improving their reliability
- Demonstrated success signals: authorship of AGENTS.md, end-to-end agentic feature delivery, measurable improvements in team productivity
- Strong critical thinking and analytical skills
- Ability to adapt quickly to evolving AI technologies and tools
- Explicit and effective communication, especially in writing specifications
- Ownership mindset focused on team-level impact
- Problem-solving mindset with attention to detail
- Experience with CI/CD pipelines and automated testing integration
- Exposure to AI safety, governance, and secure system design
- Experience testing microservices or distributed systems
- Familiarity with modern DevOps practices
- BS/MS in Computer Science or related field
- 8+ years of experience in test automation or software engineering

If you are interested then please share your updated resume along with below details.

Total Experience

Experience in Core Java

Experience in Rest Assured

Experience in AI-driven testing:

Current Company

Current CTC

Expected CTC

Any offer holding

Notice period/LWD

Current location

Preferred Location

📌 Automation Test Engineer Lead (Pune)
🏢 GSPANN
📍 Pune