About the position
The DevOps Engineer is responsible for designing, implementing, and maintaining the infrastructure and tools that enable efficient development, deployment, and operation of software systems. The role bridges the gap between development and operations teams to ensure continuous integration, delivery, and deployment (CI/CD) of high-quality applications with scalability, security, and reliability in mind.
Key Responsibilities:
- Design, build, and maintain scalable CI/CD pipelines to automate software builds, testing, and deployments.
- Manage and monitor cloud infrastructure (e.g., AWS, Azure, GCP) and on-premise systems.
- Implement Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or CloudFormation.
- Ensure system reliability, performance, and uptime through proactive monitoring and alerting.
- Collaborate closely with software engineers to optimize release cycles and application performance.
- Manage containerization and orchestration using Docker and Kubernetes.
- Implement and maintain robust security, compliance, and backup strategies.
- Support and troubleshoot production issues, ensuring quick root-cause analysis and resolution.
- Continuously evaluate and integrate new DevOps tools and best practices.
- Participate in on-call rotations as required.
RequirementsRequired Qualifications & Experience:
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- 3–5 years of experience in DevOps, Cloud Infrastructure, or Systems Engineering roles.
- Strong experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, CircleCI, Azure DevOps).
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with scripting and automation (e.g., Python, Bash, PowerShell).
- Solid understanding of networking, security principles, and Linux-based systems.
- Familiarity with version control (Git) and agile methodologies.
Preferred Skills:
- Experience with Kubernetes, Helm, and service mesh technologies.
- Familiarity with monitoring tools such as Prometheus, Grafana, ELK Stack, or Datadog.
- Knowledge of configuration management tools (e.g., Chef, Puppet, Ansible).
- Exposure to microservices architecture and RESTful APIs.
- Certification in AWS, Azure, or GCP (advantageous).
Soft Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Proactive mindset with a focus on automation and continuous improvement.
- Ability to work under pressure and manage multiple priorities.
Performance Indicators:
- Deployment success and rollback rates.
- System uptime and performance metrics.
- Reduction in manual interventions via automation.
- Speed and reliability of software releases.
- Collaboration effectiveness with development and operations teams.
Desired Skills:
- Cloud Infrastructure
- or Systems Engineering roles
- CI/CD tools
- AWS
- Azure
- or Google Cloud
Desired Qualification Level:
About The Employer:
