DevOps Engineer

• Support DevOps / Infrastructure Operations execution for production systems,

including release support, deployment automation, monitoring, troubleshooting, and

recurring operational tasks.

• Maintain and improve infrastructure-as-code practices using Terraform, following

the team’s existing standards, review process, and git branching model.

• Develop and maintain automation scripts and tools, mainly using Shell and Python,

to improve deployment, update, monitoring, and operational efficiency.

• Support AWS / Azure cloud operations, including infrastructure changes, access /

configuration updates, reliability improvements, and cost / performance optimization

follow-up.

• Operate and troubleshoot Docker and Kubernetes-based production environments,

including deployment issues, workload health, scaling, rollback, and incident

support.

• Participate in production incident diagnosis, root cause analysis, post-incident

follow-up, and preventive improvement actions.

• Support observability practices using tools such as Prometheus, Grafana, and ELK,

including monitoring coverage, alert quality, dashboard improvement, and log

analysis.

• Prepare and maintain runbooks, SOPs, technical documentation, and handover

materials to ensure operational continuity.

• Work closely with the existing DevOps / Infrastructure owner for priority

alignment, architecture review, production change planning, and stakeholder

communication.

Technical requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field,

or equivalent practical experience.

• 5+ years of experience in infrastructure, cloud operations, DevOps, distributed

systems, or cloud migration.

• Strong Linux operation and troubleshooting skills, with solid understanding of

networking fundamentals.

• Hands-on experience with Shell scripting and Python for automation, with clean and

maintainable coding practices.

• Practical experience with AWS and/or Azure core services and cloud operations.
• Hands-on experience with Terraform in production environments; multi-cloud experience is a plus.
• Experience with Docker and Kubernetes in production environments, including

troubleshooting, deployment, scaling, rollback, and operational support.

• Experience with CI/CD pipelines and application release automation.
• Familiarity with observability tools such as Prometheus, Grafana, ELK, or similar monitoring / logging platforms.
• Good documentation habits and willingness to work with runbooks, SOPs, tickets,

and change records.

• Familiarity with Ansible, disaster recovery, resilience testing, or incident

response automation