AI DevOps Engineer
$100,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks ($50 USD/hour)

Fully-remote
Any country
full-time (40 hrs/week)
Flexible schedule
Long-term role

AI DevOps Engineer $100,000USD/year ($50 USD/hour)

Description

Traditional site reliability teams often find themselves overwhelmed with outdated processes. With manual monitoring and reactive troubleshooting, they struggle to keep up, causing deployment delays and operational downtime. Enter IgniteTech, where we're pioneering AI-first cloud solutions that anticipate and resolve issues proactively. By embedding AI and machine learning into every layer of cloud management, we’re crafting self-healing environments that evolve autonomously, slashing downtime and enhancing performance.

Join us and step beyond the typical site reliability role. Here, you'll spearhead the development of AI-enhanced monitoring systems that preemptively address 95% of issues before they affect users. You'll also design AI-automated CI/CD pipelines, cutting deployment times by 30% and minimizing manual interventions. If you're passionate about AI, excited by automation, and eager to innovate in cloud infrastructure, we want you on our team. Be part of a global network of trailblazers, and drive the future of AI-driven cloud services.

What you will be doing

  • Deploying AI-centric monitoring tools to proactively identify, forecast, and resolve potential operational disruptions.
  • Overseeing AI-driven CI/CD pipelines to boost deployment speed and diminish manual processes.

What you will NOT be doing

  • Engaging in repetitive manual monitoring, troubleshooting, or system maintenance—your mission is to enable AI to handle these tasks.

Key responsibilities

  • Ensure seamless scalability and optimize performance of AI-driven cloud services, maintaining 99.99% uptime, while delivering AI-enhanced software updates and customizations tailored to client needs.

Candidate requirements

  • At least 2 years of DevOps experience, particularly with automating CI/CD pipelines and infrastructure management.
  • Minimum 2 years of experience with AWS or GCP.
  • Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics—or a strong willingness to learn and embrace AI technologies.
  • Strong programming and scripting abilities, with a background in automating tasks and developing AI-driven workflows.

Meet a successful candidate

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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 & AI Skills.
STEP 3

Prove Real-World Job & AI 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!

Frequently asked questions

About Crossover

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Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

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

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

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.