DevOps Engineer / AI Engineer / DevOps AI Engineer

Must-Have Qualifications 7+ years DevOps/release/platform engineering; has designedenterprise CI/CD systems, not just operated them.Production depth in Argo (CD, Workflows, Rollouts) and the GitOps operating model; Kubernetes + AWS at scale.IaC (Terraform or equivalent) and policy-as-code (OPA / Kyverno or equivalent) in production.Strong Go or Python delivery tooling built as products, with tests and observability.Hands-on agentic/LLM automation applied to the SDLC: has shipped agents or LLM-po

Job SummaryWe are seeking an experienced AI SRE Engineer to ensure the reliability, scalability, performance, and observability of AI/ML platforms and production systems. The ideal candidate will combine strong SRE, cloud, DevOps, and AI/ML infrastructure expertise. Key ResponsibilitiesDesign and maintain highly reliable and scalable AI/ML production environments.Monitor availability, performance, latency, and reliability of AI/ML applications.Build and maintain SLIs, SLOs, SLAs, and error budge

12 years of professional SDLC experience in a diverse set of technology disciplines and minimum 5 yrs. of hands-on experience designing and implementing Enterprise CICD solutions. Preferred with Software developer experience in the past. 5+ years of hands-on experience automating cloud-based applications in AWS. Minimum 2yrs of experience in Orchestration platform (EKS, OpenShift) Must have worked across breadth and depth of DevOps cycle - Orchestration and Configuration Management, CICD, Monito