Kubernetes +Terraform +Python

4 weeks ago

bangalore, India LTIMindtree Full time

Skills : Kubernetes +Terraform +Python Experience : 8 - 16 yrs Location : All LTIM Office Job Description: We are looking for a Senior Kubernetes Platform Engineer with 10+ years of infrastructure experience to design and implement the Zero-Touch Build, Upgrade, and Certification pipeline for our on-premises GPU cloud platform. This role focuses on automating the Kubernetes layer and its dependencies (e.g., GPU drivers, networking, runtime) using 100% GitOps workflows. You will work across teams to deliver a fully declarative, scalable, and reproducible infrastructure stack—from hardware to Kubernetes and platform services. Key Responsibilities • Architect and implement GitOps-driven Kubernetes cluster lifecycle automation using tools like kubeadm, ClusterAPI, Helm, and Argo CD. • Develop and manage declarative infrastructure components for: o GPU stack deployment (e.g., NVIDIA GPU Operator) o Container runtime configuration (Containerd) o Networking layers (CNI plugins like Calico, Cilium, etc.) • Lead automation efforts to enable zero-touch upgrades and certification pipelines for Kubernetes clusters and associated workloads. • Maintain Git-backed sources of truth for all platform configurations and integrations. • Standardize deployment practices across multi-cluster GPU environments, ensuring scalability, repeatability, and compliance. • Drive observability, testing, and validation as part of the continuous delivery process (e.g., cluster conformance, GPU health checks). • Collaborate with infrastructure, security, and SRE teams to ensure seamless handoffs between lower layers (hardware/OS) and the Kubernetes platform. • Mentor junior engineers and contribute to the platform automation roadmap. Required Skills & Experience • 10+ years of hands-on experience in infrastructure engineering, with a strong focus on Kubernetes-based environments. • Primary key skills required are Kubernetes API, Helm templating, Argo CD GitOps integration, Go/Python scripting, Containerd • Deep knowledge and hands-on experience with: o Kubernetes cluster management (kubeadm, ClusterAPI) o Argo CD for GitOps-based delivery o Helm for application and cluster add-on packaging o Containerd as a container runtime and its integration in GPU workloads • Experience deploying and operating the NVIDIA GPU Operator or equivalent in production environments. • Solid understanding of CNI plugin ecosystems, network policies, and multi-tenant networking in Kubernetes. • Strong GitOps mindset with experience managing infrastructure as code through Git-based workflows. • Experience building Kubernetes clusters in on-prem environments (vs. managed cloud services). • Proven ability to scale and manage multi-cluster, GPU-accelerated workloads with high availability and security. • Solid scripting and automation skills (Bash, Python, or Go). • Familiarity with Linux internals, systemd, and OS-level tuning for container workloads. • Bonus: o Experience with custom controllers, operators, or Kubernetes API extensions o Contributions to Kubernetes or CNCF projects o Exposure to service meshes, ingress controllers, or workload identity providers

  • Kubernetes +Terraform +Python

    4 days ago

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