IT Infrastructure/DevOps

PT Asuransi Digital Bersama Tbk; Jakarta Pusat; On-site; IDR 420,000,000 - 660,000,000; Full time

Job summary

PT Asuransi Digital Bersama Tbk is seeking an experienced DevOps/Cloud Engineer to lead and improve AWS infrastructure, Kubernetes environments, and CI/CD pipelines. The role focuses on automation, cloud security, and scalable deployments, with responsibilities spanning server administration, monitoring, and disaster recovery for the CARE insurance system.

The ideal candidate is hands-on, analytical, and adaptable, with at least five years in IT infrastructure, cloud engineering, or related

Qualifications

• Bachelor’s degree (S1) in any field.
• 5+ years of relevant experience in IT Infrastructure, Cloud Engineering, DevOps, System Administration, or related area.
• Hands-on experience with AWS and Kubernetes.
• Experience with CI/CD pipelines, application deployments, monitoring, logging, and troubleshooting.
• Familiarity with Docker and containerized environments.
• Good understanding of cloud security, availability, scalability, performance, and cost optimization.
• Interest in AI, automation, and emerging technologies.

Responsibilities

• Design and maintain secure, scalable, reliable, and cost-effective AWS infrastructure.
• Develop and maintain CI/CD pipelines for deployments and releases.
• Deploy, configure, monitor, and troubleshoot Kubernetes clusters and workloads.
• Manage Kubernetes resources: deployments, services, ingress, secrets, namespaces, volumes.
• Monitor and troubleshoot cloud infrastructure, applications, servers, networks, and performance.
• Perform deployments, scaling, upgrades, and rollbacks with minimal disruption.
• Collaborate with developers on releases, containerization, and infrastructure improvements.
• Manage CARE insurance system: server administration, monitoring, troubleshooting, user access, and support.
• Backups, restoration, and disaster recovery procedures.

Skills

Hands-on

Analytical

Solution-oriented

Adaptable

Automation

Cloud technologies

AI interest

Education

Bachelor’s degree

Tools

AWS

Kubernetes

Docker

CI/CD

Job description

You will lead and continuously improve our AWS infrastructure, Kubernetes environments, CI/CD pipelines, DevOps processes, and the CARE insurance system.

This role is ideal for someone who is hands-on, adaptable, analytical, and solution-oriented, with a strong interest in automation, cloud technologies, and AI.

• Design and maintain secure, scalable, reliable, and cost-effective AWS infrastructure.
• Develop and maintain CI/CD pipelines for application deployments and releases.
• Deploy, configure, monitor, and troubleshoot Kubernetes clusters and workloads.
• Manage Kubernetes resources, including deployments, services, ingress, secrets, namespaces, and persistent volumes.
• Monitor and troubleshoot cloud infrastructure, applications, servers, networks, and system performance.
• Perform deployments, scaling, upgrades, and rollbacks while minimizing service disruption.
• Apply AWS and Kubernetes best practices for security, availability, performance, scalability, and cost optimization.
• Collaborate with developers and cross-functional teams on releases, containerization, and infrastructure improvements.
• Manage the CARE insurance system, including server administration, monitoring, troubleshooting, user access, and technical support.
• Perform and verify backups, restoration, and disaster recovery procedures.
• Maintain technical documentation and manage incidents or service requests through the IT ticketing system.

• Bachelor’s degree (S1) in any field.
• Minimum 5 years of relevant experience in IT Infrastructure, Cloud Engineering, DevOps, System Administration, or a related area.
• Hands-on experience with AWS and Kubernetes. Azure or GCP experience is a plus.
• Experience with CI/CD pipelines, application deployments, monitoring, logging, and troubleshooting.
• Familiarity with Docker and containerized environments.
• Good understanding of cloud security, availability, scalability, performance, and cost optimization.
• Interest in AI, automation, and emerging technologies.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Agile and adaptable to changing priorities and business requirements.