DevOps Engineer

acumen strategy Indonesia
Remote
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AI Summary

We are seeking a DevOps Engineer to help build, deploy, and maintain scalable, reliable, 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. This is a fully remote role with flexibility and autonomy.

Key Highlights
Manage and maintain Linux systems across RHEL and Debian environments
Build, deploy, and operate cloud infrastructure on platforms such as Azure and DigitalOcean
Implement Infrastructure as Code using Terraform and Ansible
Key Responsibilities
Manage and maintain Linux systems across RHEL and Debian environments
Build, deploy, and operate cloud infrastructure on platforms such as Azure and DigitalOcean
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
Technical Skills Required
Linux system administration Cloud infrastructure Containerization Kubernetes CI/CD pipelines Infrastructure as Code Terraform Ansible Docker PostgreSQL Redis Prometheus Grafana Loki Bash Python
Benefits & Perks
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
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 with 3-5 years of relevant experience 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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