Systems Engineer

About the Role:

• We are seeking an experienced and highly skilled Infrastructure Administrator to join our dynamic team in Bengaluru
• In this critical role, you will be responsible for the administration, management, and operational excellence of our core open-source infrastructure platforms, with a strong focus on Kubernetes
• You will play a key part in ensuring the reliability, performance, and security of these essential systems that underpin our services

Key Responsibilities:

• Kubernetes Cluster Lifecycle Management Administering and managing the complete lifecycle of Kubernetes clusters, including provisioning, configuration, hardening, monitoring, logging, health checks, remediation, backup, and recovery
• Developing and executing comprehensive Kubernetes upgrade strategies, encompassing planning, environment preparation, component upgrades (control plane and worker nodes), thorough testing and validation, and robust rollback procedures
• Managing and troubleshooting associated Kubernetes components such as Container Runtime Interface (CRI), Container Network Interface (CNI), Container Storage Interface (CSI), Ingress Controllers, and potentially Service Meshes
• Implementing and enforcing security best practices within the Kubernetes environment, including RBAC, network policies, and secret management
• Optimizing Kubernetes cluster performance through resource management, network tuning, and identifying/resolving bottlenecks
• Linux System Administration: Providing strong Linux system administration skills,, configuration, patching, troubleshooting, performance monitoring, security hardening, shell scripting for automation, and user/permissions management
• Ensuring the stability and security of the underlying server platform hosting our open-source infrastructure
• Knowledge on Azure AKS, Google GKE (Added Advantage): Experience with managed Kubernetes services in the cloud is a significant plus: AKS (Azure Kubernetes Service): Understanding the architecture, features, and management of AKS clusters
• This includes deploying and managing AKS clusters, scaling nodes, configuring networking and storage, and integrating with other Azure services
• GKE (Google Kubernetes Engine): Familiarity with the architecture, features, and management of GKE clusters
• This includes deploying and managing GKE clusters, using node pools, configuring networking and storage, and integrating with other Google Cloud Platform services