What are the responsibilities and job description for the AI Dev Ops Engineer position at Arkhya Tech. Inc.?
About the Role
We 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 configurations
- Hands-on experience with OpenShift / Kubernetes and Docker containerization
- Infrastructure 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 Mesh
- Hands-on experience with Splunk and Grafana
- Understanding of secure deployment practices