DevOps Engineer

1. Support DevOps / Infrastructure Operations execution for production systems,
including release support, deployment automation, monitoring, troubleshooting, and
recurring operational tasks.
2. Maintain and improve infrastructure-as-code practices using Terraform, following
the team’s existing standards, review process, and git branching model.
3. Develop and maintain automation scripts and tools, mainly using Shell and Python,
to improve deployment, update, monitoring, and operational efficiency.
4. Support AWS / Azure cloud operations, including infrastructure changes, access /
configuration updates, reliability improvements, and cost / performance optimization
follow-up.
5. Operate and troubleshoot Docker and Kubernetes-based production environments,
including deployment issues, workload health, scaling, rollback, and incident
support.
6. Participate in production incident diagnosis, root cause analysis, post-incident
follow-up, and preventive improvement actions.
7. Support observability practices using tools such as Prometheus, Grafana, and ELK,
including monitoring coverage, alert quality, dashboard improvement, and log
analysis.
8. Prepare and maintain runbooks, SOPs, technical documentation, and handover
materials to ensure operational continuity.
9. Work closely with the existing DevOps / Infrastructure owner for priority
alignment, architecture review, production change planning, and stakeholder
communication.

Technical requirements:

1. Bachelor’s degree in Computer Science, Engineering, or a related technical field,
or equivalent practical experience.
2. 5+ years of experience in infrastructure, cloud operations, DevOps, distributed
systems, or cloud migration.
3. Strong Linux operation and troubleshooting skills, with solid understanding of
networking fundamentals.
4. Hands-on experience with Shell scripting and Python for automation, with clean and
maintainable coding practices.
5. Practical experience with AWS and/or Azure core services and cloud operations.
6. Hands-on experience with Terraform in production environments; multi-cloud experience is a plus.
7. Experience with Docker and Kubernetes in production environments, including
troubleshooting, deployment, scaling, rollback, and operational support.
8. Experience with CI/CD pipelines and application release automation.
9. Familiarity with observability tools such as Prometheus, Grafana, ELK, or similar monitoring / logging platforms.
10. Good documentation habits and willingness to work with runbooks, SOPs, tickets,
and change records.
11. Familiarity with Ansible, disaster recovery, resilience testing, or incident
response automation