Job Description

Key Responsibilities:

• On-Premises Kubernetes Cluster Management:
• Design, deploy, and maintain enterprise-level on-premises Kubernetes clusters.
• Ensure high availability and resilience of applications with an uptime of 99.9% or greater.
• Implement and manage multi-cluster environments for redundancy and failover within on-premises infrastructure.
• Scalability and Performance Optimization:
• Develop and implement auto-scaling policies (horizontal and vertical) tailored for on-premises environments to handle varying workloads efficiently.
• Optimize cluster performance through resource monitoring and capacity planning within on-premises constraints.
• Implement best practices for load balancing and traffic routing in on-premises setups.
• Non-Functional Requirements (NFRs) Mapping:
• Translate platform NFRs such as scalability, reliability, performance, and security into actionable Kubernetes configurations specifically for on-premises deployments.
• Collaborate with cross-functional teams to ensure NFRs are integrated into the development lifecycle, focusing on on-premises solutions.
• Software-Defined Storage Implementation:
• Design and implement software-defined storage solutions within Kubernetes clusters.
• Manage and optimize persistent storage using technologies like Ceph, GlusterFS, or StorageOS.
• Ensure data resilience and high availability through effective storage policies and replication strategies.
• Troubleshoot and resolve storage-related issues in Kubernetes environments.
• Container Network Interface (CNI) Implementation:
• Implement and manage Kubernetes networking using CNI plugins like Calico.
• Develop network policies to secure cluster communications and optimize network performance.
• Troubleshoot and resolve network issues within Kubernetes clusters.

• 5+ years of hands-on experience with Kubernetes in an enterprise environment, specifically with on-premises deployments.
• Proven expertise in managing high-availability on-premises systems with an emphasis on uptime and reliability.
• Experience in managing both stateful and stateless workloads on Kubernetes
• Strong experience with auto-scaling techniques, including Horizontal Pod Autoscaling (HPA) and Vertical Pod Autoscaling (VPA), in on-premises environments.
• Proficient in mapping platform NFRs to Kubernetes solutions tailored for on-premises infrastructure.
• Solid understanding of containerization technologies (Docker) and microservices architecture in on-premises settings.
• Experience with on-premises infrastructure, including networking, storage solutions, and hardware configurations relevant to Kubernetes.
• Experience with provisioning HA databases in a k8s environment