Senior Automation QA Engineer
Anblick Solutions · Ahmedabad · hybrid · Posted 71d ago
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About this role
Senior Automation QA Engineer
About the Role
We are looking for a Senior Automation QA Engineer to own end-to-end test automation across API and UI layers for our AI-native platform, including agent workflow validation.
Key Responsibilities
- Design and execute test strategies for API and UI layers using Pytest and Playwright (Angular).
- Own CI/CD quality gates in Azure DevOps, ensuring reliable build promotion and release readiness.
- Build and maintain coverage for agent workflow testing, including non-determinism, agent graph validation, and confidence score assertions.
- Develop reusable automation frameworks and data setup utilities backed by PostgreSQL.
- Contribute to LLM evaluation and observability workflows using Langfuse or similar tooling.
Required Qualifications
- 6+ years of experience in QA automation.
- Strong hands-on expertise with Pytest and Playwright, with proven depth in both API and UI automation.
- Solid proficiency in Python and experience working with PostgreSQL for test data and validation.
- Hands-on experience with Azure DevOps CI/CD pipelines and quality gates.
- Awareness of LLM/agent testing challenges (non-determinism, agent graph validation, confidence score assertions); exposure to Langfuse or LLM evaluation frameworks is a plus and can be built on the job.
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About Anblick Solutions

Anblick Solutions
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Anblicks, a team of specialists in strategic dUnlock the full potential of your data with Anblicks, a team of strategic data modernization experts. Our tailored services cover seamless data migration, robust re-architecture, and transformative solutions. The "AIM" Framework from Anblicks, encompassing Advise, Implement, and Manage, presents a dynamic methodology that simplifies data management. This approach effectively tailors, launches, and maintains data strategies. Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratization and governance, driving growth and enhancing competitive edges through strategic use of data and AI.
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