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.

5+ 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.
Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
Experience of testing stochastic systems.
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
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.

Senior QA Engineer – AI & Cloud Services

Key skills