AI Site Reliability 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 infrastructure with AI? While others struggle with manual processes and reactive troubleshooting, you'll be architecting self-healing systems that prevent issues before they occur. Join us in building the future of intelligent cloud operations.
At IgniteTech, we're not just adding AI to existing processes - we're reimagining cloud infrastructure from the ground up with artificial intelligence at its core. Our AI-first approach has already achieved 95% automated issue resolution and 30% faster deployments. Now we're pushing even further.
As our AI Site Reliability Engineer, you'll spearhead the development of next-generation cloud systems that think, learn, and evolve. This isn't about maintaining the status quo - it's about defining the future of cloud operations through intelligent automation.
What you will be doing
- Design and implement AI-powered monitoring systems that detect and resolve issues autonomously
- Architect intelligent CI/CD pipelines that optimize deployment efficiency through machine learning
- Develop predictive analytics capabilities that anticipate and prevent potential system failures
- Lead the integration of cutting-edge AI technologies into our cloud infrastructure
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 monitoring systems
Key responsibilities
Transform our cloud infrastructure into an intelligent, self-optimizing system that maintains 99.99% uptime while continuously evolving to meet future demands.
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.
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.
