09/26/2026 updated
SN
100 % available
Senior OpenShift Engineer | Kubernetes, AI Workloads, Ansible & GitOps
Bangalore, India
Only remote
Bachelor of Engineering (B.E.) in Information Science & EngineeringArgo CDGitOpsKubernetes SecurityApplication Programming Interfaces (APIs)Command-Line InterfaceCloud EngineeringGitHubOpenShiftAnsibleVaultGitLabGitGitlab-ciKubernetesHashicorp
OpenShift & Kubernetes Engineering
Expertise in Red Hat OpenShift Container Platform (OCP 4.x), Azure Red Hat OpenShift (ARO), ROSA, and Kubernetes (EKS, AKS). Proficiency in worker node scheduling, ingress/routes, cluster upgrades, and Day-2 operations across enterprise multi-cluster environments.
AI Workloads & Platform Operations
Hands-on experience deploying NVIDIA GPU Operator, Node Feature Discovery (NFD), vLLM/Ollama model serving, and Ray on Kubernetes for multi-tenant GPU slicing and low-latency model inference using Red Hat OpenShift AI (RHOAI).
Infrastructure as Code & GitOps Automation
Strong command of Terraform IaC, Ansible playbooks, roles and AWX, ArgoCD (GitOps), and GitLab CI for automated bare-metal and cloud provisioning, drift elimination, and release pipeline orchestration with automated verification testing gates.
Cluster Security & Policy Governance
Application of Security Context Constraints (SCCs), Pod Security Standards (PSS), NetworkPolicies, RBAC least-privilege, admission controllers, and zero-trust network isolation to ensure compliance with financial and SEC regulatory standards.
AI Agent Runtimes & Sandboxing
Engineering of containerized sandboxed execution environments for AI agents, deterministic Python test harnesses, tool-calling validation, and non-root runtime isolation enabling autonomous AI agent and developer tooling to execute code safely.
CI/CD Pipeline Automation
Design and implementation of CI/CD delivery pipelines using Jenkins, GitLab CI, ArgoCD, GitHub Actions, and cloud-native tools integrating automated unit testing, container vulnerability scanning, blue-green and canary deployments, and automated quality gates.
Observability & Incident RCA
Utilization of OpenShift Monitoring, Prometheus, Grafana, Alertmanager, and Python-based CLI tools for systematic cluster health monitoring, root cause analysis, and triage of CrashLoopBackOff and OOMKilled pods.
Cloud Infrastructure & Multi-Cloud Operations
Experience across AWS (EC2, VPC, IAM, EKS) and Microsoft Azure (ARO, AKS, Key Vault) for deploying and managing enterprise-grade container platforms, secrets management via HashiCorp Vault, and zero-trust security configurations.
Programming & Automated Testing
Proficiency in Python (FastAPI, asyncio, CLI tools), Pytest (Fixtures, Mocks, Test Harnesses), Linux internals, REST APIs, SQL, and Git workflows for automation scripting, test validation, and dependency vulnerability scanning.
Expertise in Red Hat OpenShift Container Platform (OCP 4.x), Azure Red Hat OpenShift (ARO), ROSA, and Kubernetes (EKS, AKS). Proficiency in worker node scheduling, ingress/routes, cluster upgrades, and Day-2 operations across enterprise multi-cluster environments.
AI Workloads & Platform Operations
Hands-on experience deploying NVIDIA GPU Operator, Node Feature Discovery (NFD), vLLM/Ollama model serving, and Ray on Kubernetes for multi-tenant GPU slicing and low-latency model inference using Red Hat OpenShift AI (RHOAI).
Infrastructure as Code & GitOps Automation
Strong command of Terraform IaC, Ansible playbooks, roles and AWX, ArgoCD (GitOps), and GitLab CI for automated bare-metal and cloud provisioning, drift elimination, and release pipeline orchestration with automated verification testing gates.
Cluster Security & Policy Governance
Application of Security Context Constraints (SCCs), Pod Security Standards (PSS), NetworkPolicies, RBAC least-privilege, admission controllers, and zero-trust network isolation to ensure compliance with financial and SEC regulatory standards.
AI Agent Runtimes & Sandboxing
Engineering of containerized sandboxed execution environments for AI agents, deterministic Python test harnesses, tool-calling validation, and non-root runtime isolation enabling autonomous AI agent and developer tooling to execute code safely.
CI/CD Pipeline Automation
Design and implementation of CI/CD delivery pipelines using Jenkins, GitLab CI, ArgoCD, GitHub Actions, and cloud-native tools integrating automated unit testing, container vulnerability scanning, blue-green and canary deployments, and automated quality gates.
Observability & Incident RCA
Utilization of OpenShift Monitoring, Prometheus, Grafana, Alertmanager, and Python-based CLI tools for systematic cluster health monitoring, root cause analysis, and triage of CrashLoopBackOff and OOMKilled pods.
Cloud Infrastructure & Multi-Cloud Operations
Experience across AWS (EC2, VPC, IAM, EKS) and Microsoft Azure (ARO, AKS, Key Vault) for deploying and managing enterprise-grade container platforms, secrets management via HashiCorp Vault, and zero-trust security configurations.
Programming & Automated Testing
Proficiency in Python (FastAPI, asyncio, CLI tools), Pytest (Fixtures, Mocks, Test Harnesses), Linux internals, REST APIs, SQL, and Git workflows for automation scripting, test validation, and dependency vulnerability scanning.
Experience
Professional experience10+ years
Freelancer since2021
Languages
EnglishFluent
Project history
Engineered and administered enterprise Azure Red Hat OpenShift (ARO) multi-cluster platforms hosting 100+ microservices. Deployed NVIDIA GPU Operator, NFD, and vLLM runtimes for low-latency model inference. Engineered containerized execution sandboxes and Python test harnesses for autonomous AI agents. Enforced SCCs, non-root pod execution, and NetworkPolicies; audited Helm templates and Kustomize overlays for financial and SEC regulatory compliance. Automated infrastructure via Terraform and Ansible; orchestrated GitOps release pipelines using ArgoCD.
Managed containerized execution environments on IBM Cloud Pak for Data on OpenShift for high-throughput IoT and predictive analytics workloads. Authored modular Ansible playbooks and Python automation scripts accelerating release deployment velocity by 70%. Standardized automated CI/CD and container orchestration baselines across development, staging, and production tiers.
Managed high-scale AWS EKS container infrastructure supporting distributed data and ML pipelines; authored modular Terraform configurations and standardized Docker base images. Built automated test-runner pipelines integrating Pytest suites, manifest linting, and dependency vulnerability scanning, accelerating application deployment efficiency by 80%. Established systematic cluster health monitoring and root cause analysis procedures for distributed container workloads across HIPAA/PCI-DSS regulated domains.