codvo-team~3mo ago

(UK)Principal Engineer - Test

United Kingdom·Cambridgelead

OtherPrincipal Engineer

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Quick Summary

Overview

Job Title: Principal Engineer, Test – AI Core Services Development Location: Cambridge, UK Company OverviewAt Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company.

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.

Technical Tools

azureagileci-cd

Requirements

~1 min read

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

Responsibilities

~1 min read

→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.