Remote DevOps Engineer Jobs in Indonesia

  • The best remote DevOps Engineer jobs are on Crossover.
  • Find leading US companies hiring full-time DevOps engineers in Indonesia.
  • Develop tools and infrastructure to deploy, monitor, and manage production services across cloud platforms.
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Why Crossover?

Remote jobs with first-rate USD pay—anywhere in the world.

Remote jobs with first-rate USD pay—anywhere in the world.

Join an elite global team of top 1% professional talent.

Join an elite global team of top 1% professional talent.

Equal opportunity hiring process: just prove your skills are world-class.

Equal opportunity hiring process: just prove your skills are world-class.

Remote DevOps Engineer Jobs in Indonesia

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Role Description

We are nurturing DevOps engineer jobs for automating the build and deployment of software products to the cloud.

DevOps Job Responsibilities

  • Develop tools and infrastructure to deploy, monitor, and manage production services in AWS, GCP or Azure.
  • Improve observability, monitoring, and alerting functions 

Minimum Requirements For a DevOps Engineer 

  • Experience in using IaC frameworks (eg. CloudFormation, Terraform) to manage cloud infrastructure 
  • Expertise in running, building, or maintaining CI/CD pipelines
  • Proficient in managing Docker-based deployment
  • Ability to work full-time (40 hours/week) 

Meet a successful candidate

Elsya Fhani
Elsya  |  QA Manual Tester
Indonesia  

As a Crossover candidate, Elsya received feedback that she needed to grow in a few areas before joining Crossover. She developed her skills ...

Read Elsya's Story

Featured remote DevOps engineer jobs in Indonesia

AI-First Site Reliability Engineer @ IgniteTech

$60,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks ($30 USD/hour)
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Work from Indonesia
Fully-remote
full-time (40 hrs/week)
Flexible schedule
Long-term role

Key responsibilities

  • Achieve seamless scalability and optimize performance for AI-powered cloud services, ensuring 99.99% uptime while delivering AI-enhanced software upgrades and customizations that meet clients' evolving needs

Description

It's no secret that traditional site reliability teams struggle to keep pace with manual monitoring, reactive troubleshooting, and labor-intensive deployments. The rise of AI presents a solution, but many companies fail to fully leverage its potential, resulting in systems that underperform and bottlenecks that stifle innovation. Data shows that 73% of companies struggle with deployment delays and operational downtime, primarily due to outdated processes and lack of AI-driven automation.

At IgniteTech, we are tackling these issues head-on by building AI-first cloud solutions that are designed to anticipate and prevent problems before they arise. We focus on integrating AI and machine learning into every facet of cloud infrastructure management, from automated monitoring systems to intelligent CI/CD pipelines. This approach creates environments that not only self-heal but also continuously evolve, reducing downtime, improving performance, and pushing the boundaries of what cloud services can do.

This isn’t your typical site reliability role, where you'd be reacting to problems and manually intervening when things go wrong. Here, you’ll lead the charge in building AI-enhanced monitoring systems that detect and resolve 95% of issues before they ever reach end users. You’ll also architect and manage AI-automated CI/CD pipelines that reduce deployment times by 30% while slashing manual interventions. The ideal candidate thrives in an AI-driven environment, is excited by the prospect of automation-first solutions, and enjoys pushing the envelope of cloud infrastructure design.

In this role, you’ll join a global team of innovators who are redefining cloud infrastructure. Your work will play a key role in our mission to deliver next-gen, AI-driven operational excellence. We’re seeking someone who is passionate about AI and ready to make a lasting impact on the future of cloud services. If that’s you, we encourage you to apply and be part of something revolutionary.

Candidate requirements

  • 3+ years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
  • 2+ years of experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
  • Proficiency in AI and machine learning tools used for monitoring, automation, and predictive analytics (or strong willingness to learn and adapt to AI-driven technologies)
  • Strong programming and scripting skills, with experience in automating tasks and building AI-driven processes

Frequently Asked Questions

Meet some of the 5,000+ rockstars who have found a rewarding remote career on Crossover.

How it works

Applying for a role? Here’s what to expect.

We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.

Pass Cognitive Aptitude Test.
STEP 1

Pass Cognitive Aptitude Test.

Pass English Proficiency Test.
STEP 2

Pass English Proficiency Test.

Prove Real-World Job Skills.
STEP 3

Prove Real-World Job Skills.

Ace An Interview Or Two.
STEP 4

Ace An Interview Or Two.

Accept Job Offer.
STEP 5

Accept Job Offer.

Celebrate!
STEP 6

Celebrate!

Join top-tier companies as a remote DevOps engineer, working full-time

Need help to find the right job? Consider exploring the following roles