Responsibilities
- Own the end-to-end QA strategy and align test scope with product requirements, acceptance criteria, and milestone gates.
- Create test plans, test cases, and traceability matrices for platform roles and access levels.
- Track and report coverage, pass/fail rates, defect density, and escape rate to inform release readiness.
- Test RBAC, GPU quotas, AI inference endpoint deployment, multi-tenant isolation, account management, SSO, two-factor authentication, secrets management, audit logging, and reporting systems.
- Validate GPU compatibility across supported NVIDIA and AMD models, including MIG partitioning and fractional allocation modes.
- Test REST management APIs, usage and chargeback reporting APIs, and OpenAI-compatible inference endpoints.
- Build and maintain automated API, UI, and integration regression suites using Selenium and Playwright within the delivery pipeline.
- Coordinate UAT, validate acceptance criteria before sign-off, and collaborate with internal and partner engineering teams.
- Execute performance benchmarks for inference latency, throughput, and concurrent request handling under load.
Requirements
- B.E., B.Tech, or equivalent in Computer Science, Information Technology, or a related discipline.
- 5–8 years of experience in QA or software testing, including strong product knowledge of AI/ML infrastructure platforms.
- Experience creating QA test plans, writing test cases, and tracking and reporting test metrics.
- Hands-on experience with Linux systems in a Kubernetes environment.
- Ability to automate functional, regression, API, and UI test cases.
- Hands-on experience with Selenium and Playwright.
- Working knowledge of role-based access control, SSO or token-based authentication, and multi-factor authentication testing.
- Preferred experience testing AI/ML models or model deployment pipelines and NVIDIA GPUs.
- Familiarity with GitOps deployment patterns, deployment audit trail testing, and workflow automation tools.
- ISTQB Advanced Level or equivalent certification is preferred; networking, infrastructure, or security domain knowledge is a plus.
Benefits
- Equal opportunity workplace committed to diversity, inclusion, innovation, collaboration, and continuous learning.
Tech Stack
Categories
About Gruve
Gruve was founded on the premise that new technologies in Machine Learning, Data Sciences, Artificial Intelligence, and Software Development are transforming Enterprise Services. Our goal is to harness these advancements to deliver services with superior efficiency and tangible outcomes. Our Team Our team is built with a strong background in Software and Services, united by a shared sense of Purpose: to achieve the best outcomes for our clients. We value all our stakeholders, recognizing that People are our most important assets. We adopt a Process framework that ensures the delivery of high-quality results every time. What Sets Us Apart Our differentiation is straightforward: we genuinely care, we innovate, we disrupt, and we work hard. Our Core Values: Customer Success: Putting customers first. Positive Feedback Loop: Embracing continuous improvement. Pursuit & Persevere: Staying resilient and ambitious. Integrity and Ethics: Acting with honesty and ethics. Team & Trust: Collaborating with trust and respect. Giving Back: Committing to community and responsibility. Gruve is Norwegian for "To Mine or Mining Activity"