AI DevOps & Platform QA Engineer
Experience : 5 to 9 Years
Location : Bangalore
Job Summary:
We are seeking an AI DevOps & Platform QA Engineer to ensure reliable, observable, and compliant deployments of AI/GenAI platforms and workflows. This role focuses on CI/CD****integrated test execution, cloud-based AI testing (Azure/AWS), and system/integration validation across AI pipelineswhile leveraging LLMs for intelligent test orchestration, guardrails enforcement, and automated security/compliance checks.
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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 workplace 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, secrets management, and auditready reporting
Qualifications and Skills:
- Bachelor’s or master’s degree in computer science, Engineering, Data Science, or equivalent experience.
- 6+ years of experience in QA automation or software engineering.
- 3+ years of experience working with AIdriven automation or intelligent testing frameworks.
- Minimum 2 years of handson experience in building or testing AIbased tools or platforms.
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
- Cursor AI / GitHub Copilot / Claude CLI
📌 AI DevOps & Platform QA Engineer (Bengaluru)
🏢 PwC
📍 Bengaluru