01Key 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. AI & Cloud Expertise 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. Core Skills and Qualifications: 12+ years of experience in software testing or QA for cloud-native applications, including 2+ years working on AI/ML systems or services. 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 R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke its the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us. Find out more: aveva.com/en/about/careers/r-and-d-careers/ India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support Its possible were hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: aveva.com/en/about/careers/benefits/ Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. Hiring process Interested Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your .
