DevOps Engineer with Strong Kubernetes(Need Engineering/ Design Side)
Salário Estimado
R$ 12.375,00 - R$ 18.563,00
Descrição da Vaga
Role: Devops Engineer with Strong Kubernetes Location : Remote Job Type: Contract - W2 They need to be strong in Kubernetes and on Engineering/Design side not operational side Details/Scope of the project: Platform design team.
Support platform design and implementation across all applications within the Core Network Engineering Group.
Job responsibilities include :: Platform Design & Architecture: Design and implement end-to-end IT infrastructure for container workloads, including Kubernetes(Rke2) clusters, CI/CD pipelines, and automated monitoring solutions.
CI/CD & Automation: Build and maintain high-efficiency pipelines using ArgoCD, Gitlab, JFrog Artifactory.
End-to-End Cluster Automation: Design and build fully automated Kubernetes cluster lifecycles using Ansible and Shell scripting.
Ensure "one-touch" cluster deployments.
AI-Driven Operations (AIOps): Architect and implement MCP (Model Context Protocol) servers to allow Agentic AI to securely access, query, and manage Kubernetes resources.
Advanced Observability: Design a high-availability monitoring stack using Prometheus and Thanos for long-term metric retention and global querying, visualized through complex Grafana dashboards.
Security & Governance: Implement "Security as Code" using Open Policy Agent (OPA) for resource restrictions.
Manage sensitive data by integrating HashiCorp Vault with Kubernetes(Rke2) via Secrets Store CSI Drivers.
Network & Traffic Management: Configure complex networking policies (Ingress/Egress), custom CoreDNS setups, and implement Istio Service Mesh with Kiali for enhanced observability and traffic control.
Storage & Persistence: Architect and manage persistent storage solutions using Portworx, ensuring high availability and data persistence for stateful applications.
Migration & Modernization: Lead the migration of legacy monolithic applications (e.g., WebLogic) and Docker Swarm workloads into optimized Kubernetes(Rke2). tools: Devops, Kubernetes, Argocd, Gitlab, Prometheus, Thanos, Grafana, MCP, Istio, Ansible, Python
Requisitos
- They need to be strong in Kubernetes and on Engineering/Design side not operational side
Responsabilidades
- Details/Scope of the project: Platform design team
- Support platform design and implementation across all applications within the Core Network Engineering Group
- Job responsibilities include :: Platform Design & Architecture: Design and implement end-to-end IT infrastructure for container workloads, including Kubernetes(Rke2) clusters, CI/CD pipelines, and automated monitoring solutions
- CI/CD & Automation: Build and maintain high-efficiency pipelines using ArgoCD, Gitlab, JFrog Artifactory
- End-to-End Cluster Automation: Design and build fully automated Kubernetes cluster lifecycles using Ansible and Shell scripting
- Ensure "one-touch" cluster deployments
- AI-Driven Operations (AIOps): Architect and implement MCP (Model Context Protocol) servers to allow Agentic AI to securely access, query, and manage Kubernetes resources
- Advanced Observability: Design a high-availability monitoring stack using Prometheus and Thanos for long-term metric retention and global querying, visualized through complex Grafana dashboards
- Security & Governance: Implement "Security as Code" using Open Policy Agent (OPA) for resource restrictions
- Manage sensitive data by integrating HashiCorp Vault with Kubernetes(Rke2) via Secrets Store CSI Drivers
- Network & Traffic Management: Configure complex networking policies (Ingress/Egress), custom CoreDNS setups, and implement Istio Service Mesh with Kiali for enhanced observability and traffic control
- Storage & Persistence: Architect and manage persistent storage solutions using Portworx, ensuring high availability and data persistence for stateful applications
- Migration & Modernization: Lead the migration of legacy monolithic applications (e.g., WebLogic) and Docker Swarm workloads into optimized Kubernetes(Rke2). tools: Devops, Kubernetes, Argocd, Gitlab, Prometheus, Thanos, Grafana, MCP, Istio, Ansible, Python
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