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Senior Linux and Kubernetes System Engineer

Pacific International Lines (PIL)
Posted on

Experience
5 - 8 yrs
Job Location
Chennai, India
Vacancy
1
Designation
Senior System Administrator
Job Type
Not specified

Job Description

Roles and Responsibilities :

  • Architect, deploy, and maintain production-grade Kubernetes clusters (OKE, AKS) including cluster lifecycle management, upgrades, and capacity planning.
  • Design and implement Kubernetes platform services: Ingress controllers, service mesh, secrets management (OCI Vault, Azure Key Vault), CSI drivers, and RBAC policies.
  • Own the full lifecycle of Linux-based virtual machines across Azure and OCI, including provisioning, hardening, patching, and decommissioning.
  • Develop and maintain infrastructure-as-code (Terraform, Ansible) for repeatable, auditable deployments across cloud platforms.
  • Implement observability stacks (Datadog, Prometheus, Grafana) for both VM and container workloads, including log aggregation, metrics collection, and alerting.
  • Lead incident response for Linux and Kubernetes platform issues; perform root-cause analysis and drive preventive measures.
  • Evaluate and adopt emerging cloud-native technologies; provide technical recommendations to engineering leadership.
  • Mentor and coach junior and mid-level Linux/Kubernetes engineers on debugging techniques, and operational best practices.
  • Lead technical design reviews and contribute to the CloudOps engineering standards and runbook documentation.
  • Collaborate with cross-functional teams (Security, Application, Database) to define platform standards and shared-service offerings.
  • Drive knowledge-sharing initiatives through internal tech talks, documentation, and pair-engineering sessions.

Job Requirements :

  • 5-8 years of experience in IT services & consulting industry with expertise in Linux administration on Microsoft Azure cloud platform.
  • Strong leadership skills with ability to manage multiple projects simultaneously.
  • Proficiency in Kubernetes orchestration tools such as Docker Swarm or Kubernetes Engine (K8s).
  • Experience with monitoring tools like Prometheus/Grafana/Zabbix/Nagios.

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