Job Requirements

What You'll Do
• Design, develop, and maintain automated test and validation solutions for complex software systems.
• Build automated tests for REST APIs, integrations, databases, and end-to-end workflows.
• Validate software across hybrid and heterogeneous technology environments.
• Integrate automated tests into CI/CD pipelines to enable continuous quality feedback.
• Define and improve test strategies, coverage, traceability, and defect-management practices.
• Validate AI-assisted, LLM-based, and agent-driven workflows for reliability, robustness, and expected behavior.
• Explore Generative AI and AI-assisted techniques for test generation, optimization, and analysis.
• Collaborate across development, architecture, DevOps, product, and other functions to embed quality throughout the software lifecycle. Work Experience What We're Looking For
•

Experience:
3–6 years of experience in Software Testing and Quality Assurance with robust experience in software testing, validation, and test automation.
•

Education:
B.
E. / B. Tech / M.
Sc. / MCA in Computer Science, Information Technology, or equivalent.
• API Testing: Hands-on experience with RESTful API testing using Postman, Swagger/OpenAPI, or similar tools.  Data Validation: Experience with database and data validation.
• Hybrid Environments: Experience testing solutions involving multiple technologies, services, components, and interfaces.




• CI/CD & Source Control: Hands-on experience with Git and CI/CD tools such as Azure Pipelines, GitHub Actions, or equivalent.
• Quality Engineering: Good understanding of Agile, Scrum, TDD, BDD, and modern quality-engineering practices.
• AI Validation: Experience testing AI agents, LLM-based applications, or Generative AI solutions is considered an advantage.
• AI Evaluation: Familiarity with AI-agent orchestration frameworks and AI/LLM evaluation approaches is considered an advantage.
• Cloud & Containers: Experience with Azure, AWS, or GCP, as well as Docker and Kubernetes, is considered an advantage.
• Security Testing: Familiarity with DAST, security testing, and penetration-testing concepts is considered an advantage.
• Web Testing: Experience in functional, performance, and cross-browser testing of web applications is considered an advantage.
• Test Management: Experience with Azure DevOps, TFS, Jira, or equivalent test and defect-management tools.  Collaboration: Strong analytical, problem-solving, communication, and cross-functional collaboration skills. What Defines Success You bring automation first, quality-driven, and AI-aware mindset. You help engineering teams detect risks earlier, reduce repetitive manual validation, improve engineering efficiency, and deliver reliable, scalable, secure, and fit-for-purpose software solutions.

📌 AI & Automation Validation Engineer (Bengaluru)
🏢 Siemens Healthineers
📍 Bengaluru