DevOps Engineer - Cloud Infrastructure and Automation

acumen strategy Indonesia
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AI Summary

We are seeking a DevOps Engineer to build, deploy, and maintain scalable and secure infrastructure across our applications and platforms. The ideal candidate has strong Linux and cloud fundamentals, hands-on experience with containerized environments, and a passion for infrastructure automation and production reliability.

Key Highlights
Build, deploy, and maintain cloud infrastructure
Own and optimize CI/CD pipelines
Deploy, manage, and secure containerized workloads
Key Responsibilities
Manage and maintain Linux systems
Build, deploy, and operate cloud infrastructure
Own and optimize CI/CD pipelines
Deploy, manage, and secure containerized workloads
Implement Infrastructure as Code
Ensure high availability and performance of PostgreSQL and Redis systems
Set up and maintain monitoring and observability stacks
Automate operational workflows
Handle production incidents, perform root cause analysis, and maintain operational documentation
Technical Skills Required
Linux system administration Cloud infrastructure Containerization Kubernetes CI/CD pipelines Infrastructure as Code Terraform Ansible PostgreSQL Redis Prometheus Grafana Loki Bash Python
Benefits & Perks
Fully remote role
High ownership role
Continuous learning exposure
Nice to Have
Experience with Kafka, Airflow, or MLOps pipelines
Exposure to NoSQL databases or vector databases
Experience supporting data-intensive or AI-driven platforms
Familiarity with security best practices for containerized and cloud-native systems

Job Description


Position Overview 

We are looking for a DevOps Engineer to help build, deploy, and maintain scalable, reliable, and secure infrastructure across our applications and platforms. This role focuses on bridging development and operations to improve system reliability, automate workflows, and enable fast, stable releases in a fully remote environment. 


The ideal candidate has strong Linux and cloud fundamentals, hands-on experience with containerized environments, and a passion for infrastructure automation and production reliability. 


Key Responsibilities & Deliverables 


  • Manage and maintain Linux systems across RHEL and Debian environments 
  • Build, deploy, and operate cloud infrastructure on platforms such as Azure and DigitalOcean 
  • Own and optimize CI/CD pipelines using GitHub Actions or GitLab CI 
  • Deploy, manage, and secure containerized workloads using Docker, Kubernetes, and Nomad with Consul 
  • Implement Infrastructure as Code using Terraform and Ansible 
  • Ensure high availability and performance of PostgreSQL and Redis systems 
  • Set up and maintain monitoring and observability stacks using Prometheus, Grafana, and Loki 
  • Automate operational workflows using Bash and Python 
  • Handle production incidents, perform root cause analysis, and maintain operational documentation 

 


Core Qualifications and Competencies 


  • Strong fundamentals in Linux system administration and cloud infrastructure 
  • Hands-on experience with containerization and orchestration, particularly Kubernetes 
  • Solid understanding of CI/CD pipelines and Infrastructure as Code practices 
  • Experience managing production systems with a focus on reliability and availability 
  • Familiarity with monitoring, alerting, and observability best practices 
  • Ability to troubleshoot complex infrastructure and deployment issues 
  • Strong problem-solving skills and attention to detail 
  • Ability to work independently in a remote environment 

 


Nice-to-Have Skills 


  • Experience with Kafka, Airflow, or MLOps pipelines 
  • Exposure to NoSQL databases or vector databases 
  • Experience supporting data-intensive or AI-driven platforms 
  • Familiarity with security best practices for containerized and cloud-native systems 


Why This Opportunity 


  • Fully remote role with flexibility and autonomy 
  • High ownership role influencing system reliability and delivery speed 
  • Continuous learning exposure across DevOps, cloud, and platform engineering 



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