DevOps Engineer

Job Description

We are looking for an experienced DevOps Engineer to manage, automate, and optimize our development and deployment processes. The ideal candidate will have hands-on experience with cloud platforms, CI/CD pipelines, infrastructure automation, containerization, and monitoring tools.

The candidate will work closely with development, QA, and infrastructure teams to improve deployment efficiency, system reliability, and scalability.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for application build, testing, and deployment.

• Manage cloud infrastructure across AWS, Azure, or Google Cloud Platform (Google Cloud Platform).

• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.

• Work with Docker and Kubernetes for containerization and orchestration.

• Monitor application performance, system availability, and infrastructure health.

• Implement automation scripts using Python, Bash, or PowerShell.

• Collaborate with development and operations teams to improve deployment processes.

• Troubleshoot infrastructure, application deployment, and production issues.

• Follow security best practices and implement infrastructure monitoring and access controls.

• Maintain technical documentation and deployment procedures.

Required Skills

• 5+ years of experience in DevOps, Cloud Engineering, or related roles.

• Strong experience with at least one major cloud platform: AWS, Azure, or Google Cloud Platform.

• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.

• Experience with Docker and Kubernetes.

• Knowledge of Infrastructure as Code (IaC) tools such as Terraform or Ansible.

• Proficiency in scripting languages such as Python, Bash, or PowerShell.

• Experience with Git and version control systems.

• Understanding of Linux/Unix environments, networking, and system administration.

• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Splunk.