Principal Test Engineer

Codvo.ai

full-time

Posted on: 9/7/2025

Location: 🇮🇳 India

✨ AI Apply

Lead

AzureCloud.NET

About the role

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.
Work as part of a Scrum team; rapid prototyping and continuous improvement.

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).
Familiarity with LLM evaluation techniques, output scoring, and validation frameworks.
Understanding of prompt engineering, RAG, model orchestration, and hallucination detection.
Experience testing for accuracy, relevance, and consistency of AI model predictions/generations.
Ability to define performance metrics for AI services and test accordingly.
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 problem-solving skills and ability to analyze complex technical challenges.
Experience working in Agile teams and collaborating across global R&D locations.
Demonstrated ability to mentor junior team members and foster continuous learning.
Strong belief in ethical AI practices, transparency, and end-user trust.