Cloud & DevOps Engineer for Scalable AI Infra & Kubernetes

PT Fundo Sukses Bersama; Pluit; On-site; IDR 360,000,000 - 720,000,000; Full time

Job summary

PT Fundo Sukses Bersama is seeking a Cloud & DevOps Infrastructure Engineer to build, secure, and scale our cloud stack supporting microservices and AI workloads. You will manage high-availability Kubernetes clusters, optimize auto-scaling container environments, and ensure robust PostgreSQL infrastructure in production.

Ideal candidates have a CS-related degree, 3+ years in DevOps/SRE, hands-on AWS or GCP experience, and proficiency with Docker, Kubernetes, Helm, Linux, Terraform, and CI/CD

Qualifications

• Bachelor’s degree in CS/Engineering or equivalent practical experience.
• 3+ years in DevOps, Cloud Engineering or SRE.
• Hands-on AWS or GCP container environments, network architecture, and security best practices.
• Proficiency with Docker, Kubernetes, Helm, and Linux administration.
• Deep PostgreSQL administration and tuning experience.
• IaC with Terraform and CI/CD automation proficiency.

Responsibilities

• Build, secure, and scale cloud infrastructure supporting microservices and AI workloads.
• Manage high-availability Kubernetes clusters and optimize auto-scaling container environments.
• Operate reliable PostgreSQL production-grade database infrastructure.
• Implement security, automation, and observability across the stack.

Skills

Docker

Kubernetes

Linux administration

Terraform

CI/CD automation

PostgreSQL administration

Education

Bachelor’s degree in Computer Science, Systems Engineering, or equivalent

Tools

Helm charts

Terraform

Job description

PT Fundo Sukses Bersama is seeking a Cloud & DevOps Infrastructure Engineer to build, secure, and scale our cloud stack supporting microservices and AI workloads. You will manage high-availability Kubernetes clusters, optimize auto-scaling container environments, and ensure robust PostgreSQL infrastructure in production.

Ideal candidates have a CS-related degree, 3+ years in DevOps/SRE, hands-on AWS or GCP experience, and proficiency with Docker, Kubernetes, Helm, Linux, Terraform, and CI/CD