Kubernetes Platform Engineer

Budget: 55 lahks INR

Key Responsibilities 1. Platform Operations Provision and maintain Kubernetes clusters and worker nodes. Handle alerts, incidents, and on‑call responsibilities for critical production systems. Perform OS and middleware upgrades, patching, and configuration updates. Implement security requirements and hardening measures. Support planned releases, maintenance windows, and overnight deployments. Create and maintain operational documentation and runbooks. Assess risks related to production operations and propose mitigation steps. 2. Platform Development & Automation Design and propose architecture improvements, including diagrams, trade‑off evaluations, and technical specifications. Build automation for cluster/node provisioning, lifecycle management, and capacity scaling. Develop automated workflows for OS and middleware upgrades. Build self‑healing capabilities to reduce manual operational workload. Contribute code in Go, Python, and scripting languages. 3. User & Migration Support Support advanced or non‑standard use cases escalated from the user support team. Help application teams migrate from legacy infrastructure to new container‑based platforms. Provide guidance, troubleshooting, and best practices for teams consuming the platform. Environment & Tools Languages:

Go, Python, Groovy, Shell Infrastructure:

Kubernetes (self‑managed), containers, bare‑metal servers, virtual machines Automation:

Ansible, CI/CD pipelines, internal tooling built with the Operator pattern Monitoring:

Prometheus, Grafana, Cortex, Datadog, Kibana, PagerDuty Knowledge & Collaboration:

Confluence, Slack, MS Teams Project Tracking:

Jira Mandatory Qualifications Certified Kubernetes Administrator (CKA) or willingness to obtain certification shortly after joining. Strong ownership mindset and ability to deliver high‑quality results within deadlines. Proven experience leading technical projects in an infrastructure or platform engineering context. Deep hands‑on knowledge of Kubernetes, containers, Linux internals, and troubleshooting at scale. Experience designing or developing backend services in Go or Python. Solid understanding of TCP/IP networking fundamentals. Basic understanding of distributed systems and high‑availability architectures. Experience operating large‑scale systems (100+ servers). Ability to follow structured processes, documentation standards, and review/approval workflows required for infrastructure work. Preferred Qualifications Contributions to open‑source projects or active involvement in OSS communities. Bachelor’s or Master’s degree in computer science, engineering, or a related technical field. Experience automating operations across large, complex systems. Background in developing mid‑to‑large scale applications. Familiarity with multiple monitoring or observability tools (Prometheus, Datadog, Grafana, Elastic, etc.). Experience with private or public cloud environments.