Responsibilities:

- Perform functional, performance, and security testing on cloud-native services deployed on Microsoft Azure.

- Design and implement automated test suites for APIs, service components, and AI pipelines.

- Automate the evaluation of AI system outputs to ensure accuracy, consistency, and safety of responses.

- Collaborate with developers and data scientists to establish service-level quality metrics and observability hooks.

- Validate services against AI regulatory frameworks and ensure traceability, fairness, and robustness in outcomes.

- Participate in threat modelling and security validation of exposed APIs and AI services.

- Provide feedback early in the lifecycle to reduce defects and improve design.

- Mentor junior testers, encourage continuous learning, and contribute to a culture of innovation.

- Familiarity with LLM evaluation techniques, output scoring, and validation frameworks.

- Understanding of key concepts such as prompt engineering, RAG, model orchestration, and hallucination detection.

- Experience in testing for accuracy, relevance, and consistency of AI model predictions/generations

- Defining Performance Metrics for AI services and testing for the same

- Awareness of AI safety, bias detection, and explainability techniques.

- Experience ensuring compliance with AI regulations and standards (e.g., NIST AI RMF, EU AI Act).

- Strong belief in ethical AI practices, transparency, and end-user trust.

Qualifications:

- 12+ years of experience in software testing, QA, or validation roles for cloud-native applications using Microsoft and .NET technologies.

- Proficient in designing automated testing frameworks

- Hands-on experience with Azure DevOps, CI/CD pipelines, and containerized test environments.

- Strong understanding of API testing, performance profiling, and security testing (including OWASP top 10).

- Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.

- Experience working in Agile teams and collaborating across global R&D locations

- Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation