Remote DevOps Engineer Jobs
- The best remote DevOps Engineer jobs are on Crossover.
- Work full-time for leading US companies from anywhere in the world.
- Develop tools and infrastructure to deploy, monitor, and manage production services across cloud platforms.
See the most popular remote jobs in October 2025
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Join an elite global team of top 1% professional talent.
Equal opportunity hiring process: just prove your skills are world-class.
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)
Featured DevOps engineer jobs
1 Jobs Hiring in Germany
REMOTE
AI-First Site Reliability Engineer
AI-First Site Reliability Engineer @ IgniteTech
Fully-remote
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 Data shows that 73% of companies struggle with deployment delays and operational downtime, primarily due to outdated processes and lack of AI-driven automation.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
- AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
- 2+ 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
Job reviews
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.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
STEP 1
Chat-style screening interview.
STEP 2
Cognitive aptitude test.
STEP 3
Prove real-world job skills.
STEP 4
Interview with the hiring manager.
STEP 5
Accept Job Offer.
ONE LAST THING
Pass proctored test.
Join top-tier companies as a remote DevOps engineer, working full-time
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When a difficult challenge impacted my health, this job provided excellent support throughout.
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AI is embedded in almost everything we do—it's not just a tool, it's how we work.
Tripti
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We've developed an agentic team of AI engineers who create code, review it, and even manage repositories.
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I can visit my family back home whenever I want, without having to take time off.
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There isn't another work platform that is purely focussed on remote work like Crossover. The integration of everything from recruitment to payday is unique. I can do my work wherever and whenever I like, and I don't even have to fill in any timesheets. Having been through the stringent job application p...
Ben
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My proudest moment was achieving a seemingly impossible goal: 75% AI resolution rates across support.
Ciprian
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My salary has quadrupled since day one—no switching companies required.
Chintan
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We built a complete agentic AI framework for automated software development—it's revolutionary.
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