AI DevOps Engineer $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)
Description
Are you tired of fighting fires in traditional DevOps? Ready to harness AI to prevent problems before they occur? We're not just talking about basic automation – we're revolutionizing cloud operations with AI-first solutions that make traditional DevOps look like manual labor.
At IgniteTech, we're building the future of cloud infrastructure where AI doesn't just assist – it leads. Our systems don't just react; they predict, prevent, and perfect. While others are still manually monitoring their systems, our AI-driven solutions are already resolving tomorrow's problems.
This role is for engineers who want to be at the forefront of AI-powered DevOps, where you'll architect systems that think ahead, not just respond. If you're excited about creating self-healing environments and automated CI/CD pipelines that learn and improve continuously, we want to talk to you.
What you will be doing
- Design and implement AI-powered monitoring systems that predict and prevent 95% of potential issues before they impact users
- Architect intelligent CI/CD pipelines that reduce deployment times by 30% through AI-driven automation
- Create self-healing infrastructure that leverages machine learning to optimize performance automatically
- Lead the integration of cutting-edge AI tools into our cloud infrastructure stack
What you will NOT be doing
- Spending hours on manual system monitoring and troubleshooting
- Writing repetitive scripts for routine maintenance tasks
- Responding to midnight alerts for issues that could have been prevented
- Managing traditional, static infrastructure that requires constant human intervention
Key responsibilities
Transform cloud operations by building and maintaining AI-powered infrastructure that achieves 99.99% uptime while continuously learning and improving without human intervention.
Candidate requirements
- 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
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.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
Frequently asked questions
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Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
