Experienced Software Test Engineer, AI Services at AVEVA SOFTWARE SINGAPORE PTE LTD

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Testing, QA, Validation, Cloud-Native Applications, Microsoft Technologies, NET Technologies, Automated Testing Frameworks, Azure DevOps, CI/CD Pipelines, Containerized Test Environments, API Testing, Performance Profiling, Security Testing, Stochastic Systems Testing, AI Services Evaluation, Ethical AI

Industry

Software Development

Description

AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Experienced Software Test Engineer, AI Services Location: Cambridge, United Kingdom (hybrid) Employment Type: Full-Time The job We are looking for a detail-oriented and forward-thinking Test Engineer to ensure the quality, performance, and security of our Core AI Services within AVEVA Connect. You will help validate distributed, cloud-native services and public APIs that form the foundation for enterprise AI capabilities. This role demands deep technical skill and a passion for delivering robust, secure, and ethical AI services at scale. You’ll be a part of a Scrum team and work closely with developers and architects to design effective validation strategies, automated testing frameworks, and AI-specific evaluation tools - with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up. Key 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. Essential requirements Extensive 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. Desired skills and competencies 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. 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 – it’s 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. UK Benefits include: Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program. It’s possible we’re 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 By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. 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 application process. Find out more: aveva.com/en/about/careers/hiring-process About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/ Find out more: aveva.com/en/about/careers/ AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Empowering you with pioneering tech AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably. We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies. If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.

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Responsibilities

The role involves performing functional, performance, and security testing on cloud-native services deployed on Microsoft Azure, and designing/implementing automated test suites for APIs, service components, and AI pipelines. Key tasks include automating the evaluation of AI system outputs for accuracy and safety, and collaborating with data scientists to establish quality metrics.