DevOps Engineer

GTech GroupTangerang, Bantenkalibrrjulkaistu 14.10.2026
Pakollinen:GitAWSAzureGoogle CloudDockerKubernetesCloudDevOpsQA/TestCI/CDSecurity

Design, implement, and maintain CI/CD (Continuous Integration and Continuous Deployment) pipelines.

Automate software build, testing, deployment, and release processes.

Manage and maintain cloud infrastructure (e.g., AWS, Azure, or Google Cloud Platform).

Monitor system performance, availability, and reliability.

Troubleshoot and resolve infrastructure, deployment, and application issues.

Collaborate with software developers, QA engineers, and IT teams to improve development and operational workflows.

Implement Infrastructure as Code (IaC) using tools such as Terraform or CloudFormation.

Manage containerization and orchestration platforms such as Docker and Kubernetes.

Ensure system security, compliance, and best practices across development and production environments.

Configure and maintain monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).

Optimize infrastructure for scalability, performance, and cost efficiency.

Perform system maintenance, upgrades, backups, and disaster recovery planning.

Maintain documentation for infrastructure, deployment processes, and operational procedures.

Support incident response, root cause analysis, and post-incident improvements.

Continuously evaluate and adopt new DevOps tools and technologies to improve operational efficiency.

Experienced in related career arount 3-6 years

Bachelor Degree Graduate

Profient ManagingCI/CD Platforms & Automation – GitLab CI, Jenkins, GitHub, etc -Cloud Platforms –Alibaba Cloud, AWS, GCP, -Containerization & Orchestration – Docker, Kubernetes (EKS / ACK / GKE / Vanilla), Helm, -Infrastructure as Code – Terraform, Ansible, -Cloud Networking & Security – VPC, IAM, Security Groups, Load Balancer, NATGW, VPN -Monitoring & Observability – Prometheus, TIG, Grafana, ELK / OpenSearch, datadog -DevSecOps – SAST/DAST, Image Scanning, Secrets Management,

-Database Platforms (Operational Level) – MySQL, PostgreSQL, etc -Performance Monitoring & Capacity Planning. -High Availability, Scalability & Performance Optimization.