Key Responsibilities: •

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. Tools & Technologies

Build and operate CI/CDintegrated test execution for AI/ML/GenAI workflows across settings • 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,



energetic 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: • Bachelors or masters degree in computer science, Engineering, Data Science, or equivalent experience. • 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 / Promethe

📌 Qa Platform Engineer Devops Bangalore Only Bengaluru
🏢 PwC
📍 Bengaluru