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DevOps Engineer

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Onsite

DevOps Engineer

Valuelabs

DevOps Engineer

Skills

Google Cloud PlatformDockerPythonGitGitLabJenkinsDatadogGrafanaSplunkAWSAnsiblePrometheusGitHubLinuxKubernetesSystem & Network AdministrationTerraformAzure

6 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Roles and Responsibilities: :Required Skills Strong experience with Kubernetes (K8s) administration and troubleshooting. Hands-on experience with Docker and container orchestration. Experience with cloud platforms: AWS, Azure, or GCP. Knowledge of CI/CD tools such as Jenkins, Azure DevOps, GitLab CI/CD, or GitHub Actions. Experience with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation. Proficiency in Linux system administration and shell scripting (Bash, Python, PowerShell). Experience with monitoring and logging solutions (Prometheus, Grafana, ELK, Splunk, Datadog). Understanding of networking concepts, ingress controllers, load balancing, DNS, and service meshes. Familiarity with Git workflows and source code management.

Job Description:  Design, deploy, and manage Kubernetes clusters in production environments. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation. Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, GitLab CI, or similar tools. Deploy and manage containerized applications using Docker and Kubernetes. Monitor application and infrastructure health using Prometheus, Grafana, ELK, Datadog, or Splunk. Implement security best practices, RBAC, network policies, vulnerability scanning, and compliance requirements. Troubleshoot and resolve application, infrastructure, deployment, and performance issues. Collaborate with development, QA, and operations teams to improve release processes and system reliability. Manage cloud infrastructure on AWS, Azure, or GCP. Support disaster recovery, backup, scaling, and high-availability strategies. Optimize Kubernetes workloads, resource utilization, and cluster performance.

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