Cloud Platform Engineer: AWS, Terraform & CI/CD

Hydra X; Indonesia; On-site; IDR 200,880,000 - 357,120,000; Full time

Job summary

Hydra X is seeking a DevOps/SRE professional to deploy and manage production systems on AWS, design highly available architectures, and drive IaC with Terraform. You will implement secure, scalable platforms and maintain CI/CD and GitOps workflows.

You will improve observability, respond to incidents, and support AI workloads on GCP Vertex AI, while collaborating across teams to meet service level objectives.

Qualifications

• 2+ years in DevOps/SRE/Platform Engineering or equivalent.
• Hands-on experience supporting production systems and handling incidents.
• Strong AWS experience.
• Strong Terraform skills (state, modules, environments, plan/apply).
• Experience with Grafana LGTM stack (Grafana, Loki, Tempo, Mimir/Prometheus).
• Working knowledge of GitHub Actions and Argo CD.

Responsibilities

• Deploy, automate, and manage production systems on AWS.
• Design and implement highly available systems: redundancy, failover, and disaster recovery aligned to service needs.
• Build and maintain Infrastructure as Code with Terraform.
• Maintain CI/CD and GitOps workflows using GitHub Actions and Argo CD.
• Improve observability across systems: monitoring, logging, alerting, dashboards, and runbooks.
• Implement security best practices; remediate findings and maintain cloud security controls.
• Troubleshoot production issues across infrastructure and application domains.
• Support our AI platform stack, including workloads and pipelines on GCP Vertex AI.

Skills

AWS

Terraform

GitHub Actions

Argo CD

CI/CD

Observability

Incident management

SRE

DevOps

Tools

Grafana

Loki

Tempo

Mimir/Prometheus

GitHub Actions

Argo CD

Job description

Hydra X is seeking a DevOps/SRE professional to deploy and manage production systems on AWS, design highly available architectures, and drive IaC with Terraform. You will implement secure, scalable platforms and maintain CI/CD and GitOps workflows.

You will improve observability, respond to incidents, and support AI workloads on GCP Vertex AI, while collaborating across teams to meet service level objectives.