Remote Senior Linux Engineer - Cloud & Automation

Cognizant

Hartford (CT)

Remote

USD 115,000 - 133,000

Full time

4 days ago
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Job summary

Cognizant is seeking a Senior Linux Engineer (Cloud) to manage enterprise Linux environments across on‑premises and cloud platforms, ensuring high availability, security, and operational excellence in a remote role.

You will administer RHEL/CentOS/Ubuntu, automate tasks with Bash, Python, Ansible or Terraform, and deploy containerized workloads with Docker and Kubernetes, collaborating with cross‑functional teams.

Qualifications

  • 7+ years of Linux Administration experience (RHEL preferred).
  • Experience with AWS and/or Azure cloud environments.
  • Shell scripting in Bash and Python proficiency.
  • Terraform or other IaC tooling experience.
  • Docker and Kubernetes experience.
  • Linux patching, hardening and security focus.
  • Production support and incident management experience.

Responsibilities

  • Administer and support RHEL/CentOS/Ubuntu environments.
  • Manage Linux server provisioning, patching, upgrades, and troubleshooting.
  • Support cloud infrastructure on AWS and/or Azure.
  • Automate operational tasks using Bash, Python, Ansible, or Terraform.
  • Deploy and support containerized environments using Docker and Kubernetes.
  • Monitor infrastructure performance, availability, and security.
  • Participate in incident, problem, and change management processes.
  • Collaborate with application, network, and cloud teams on infrastructure initiatives.

Skills

Linux Administration
AWS/Azure Cloud
Bash
Python
Terraform
Docker
Kubernetes
Security Hardening
Production Support

Tools

Terraform
Ansible
Docker
Kubernetes

Job description

Cognizant is seeking a Senior Linux Engineer (Cloud) to manage enterprise Linux environments across on‑premises and cloud platforms, ensuring high availability, security, and operational excellence in a remote role.

You will administer RHEL/CentOS/Ubuntu, automate tasks with Bash, Python, Ansible or Terraform, and deploy containerized workloads with Docker and Kubernetes, collaborating with cross‑functional teams.

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