AI Cloud 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
Not accepting applications on crossover.com at this time.
Description
Ready to revolutionize cloud operations with AI? We're not just talking about basic automation – we're building the future of intelligent infrastructure management.
At IgniteTech, we've recognized a critical gap in the industry: while 73% of organizations grapple with deployment delays and system downtimes, we're pioneering AI-first solutions that transform these challenges into opportunities. Our vision? Cloud systems that don't just operate – they evolve, learn, and optimize themselves.
Imagine being at the forefront of a revolution where AI-driven systems predict and resolve issues before they surface, where deployments are streamlined by intelligent automation, and where cloud infrastructure doesn't just react – it anticipates. This is the future we're building, and we need visionary engineers like you to help us shape it.
As our AI Cloud Engineer, you'll be instrumental in creating systems that achieve a remarkable 95% proactive issue resolution rate and slash deployment times by 30%. If you're energized by the intersection of AI and cloud technology, and you're ready to push the boundaries of what's possible in cloud infrastructure, we want to hear from you.
What you will be doing
- Architecting and deploying sophisticated AI monitoring systems that transform reactive maintenance into proactive prevention
- Revolutionizing deployment processes through AI-enhanced CI/CD pipelines that minimize human intervention while maximizing efficiency
What you will NOT be doing
- Getting bogged down in traditional manual monitoring and troubleshooting – your mission is to leverage AI to automate these tasks and create self-maintaining systems
Key responsibilities
- Spearhead the development and implementation of AI-powered cloud solutions that maintain 99.99% uptime while continuously evolving to meet and exceed client expectations through intelligent automation and predictive maintenance
Candidate requirements
- Proven track record of 2+ years in DevOps, with hands-on experience in CI/CD pipeline automation
- Minimum 2 years working with AWS or GCP cloud platforms
- Demonstrated expertise in AI/ML tools for monitoring and predictive analytics (or a strong drive to master these technologies)
- Advanced programming capabilities with a focus on AI-driven process automation
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
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
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.
