AI DevOps & Platform QA Engineer (Bangalore)

Key Responsibilities: • Build and operate CI/CDintegrated test execution for AI/ML/GenAI workflows across environments • Validate system, integration, and endtoend workflows for AI platforms (agents, APIs, RAG services, model endpoints, pipelines) • Establish test reporting and observability (quality gates, run analytics, pipeline health, deployment risk visibility) • Implement cloud-based AI testing strategies on Azure/AWS, including environment readiness and service integration checks

• Automate deployment validation including contract testing, dependency checks, and rollback verification • Embed LLMs into CI/CD pipelines for: • Intelligent test orchestration (prioritization, dynamic suite selection) • Guardrails enforcement (policy checks, response constraints, safety rules) • Automated compliance & security checks in AI deployments • Partner with platform/SRE/engineering teams to improve reliability using SRE principles (SLIs/SLOs, error budgets, incident learnings) • Support security & compliance awareness through scanning, policy enforcement,
• Must Have Tools • Azure DevOps / GitHub Actions • Cloud AI services (Azure/AWS) • CI/CD test orchestration • API & integration testing tools • Observability dashboards • AWS CloudWatch / Grafana / Prometheus