AI Dev Ops Engineer
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About the RoleWe are seeking an AI Platform Engineer to design and implement scalable CI/CD pipelines and runtime infrastructure supporting MCP services, agent-based systems, RAG pipelines, and enterprise AI workloads. The ideal candidate brings strong DevOps foundations combined with hands-on experience in Kubernetes/OpenShift, service mesh, observability, and secure deployment practices for building a production-grade AI platform.Required Qualifications (visible portion)Strong experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps, or Harness)Proficient in authoring YAML-based workflow files, pipeline definitions, and CD configurationsHands-on experience with OpenShift / Kubernetes and Docker containerizationInfrastructure as Code experience (Terraform, Helm, ArgoCD)Experience with ConfigMaps and HashiCorp Vault (or equivalent)Strong understanding of load balancing, Ingress/Egress, Network Policies, and Istio Service MeshHands-on experience with Splunk and GrafanaUnderstanding of secure deployment practices