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)
Description
Are you ready to break free from the constraints of traditional site reliability roles? At IgniteTech, we're harnessing the power of AI to revolutionize cloud infrastructure management, leaving behind the era of manual monitoring and reactive solutions. With 73% of companies facing deployment delays due to outdated processes, we're stepping up with AI-first solutions that foresee and prevent issues before they happen.
Our mission is to integrate AI and machine learning deeply into every aspect of cloud management, crafting systems that self-heal and evolve, slashing downtime and boosting performance. This isn't just about keeping systems running—it's about pushing the limits of cloud services to new heights.
Join us as an AI DevOps Engineer and lead the development of AI-enhanced monitoring systems that pre-emptively resolve 95% of issues. Architect AI-automated CI/CD pipelines that cut deployment times by 30% and minimize manual interventions. If you're passionate about AI and eager to transform cloud infrastructure, this role is your chance to be at the forefront of innovation.
Collaborate with a global team of pioneers and be instrumental in delivering AI-driven operational excellence. If you're ready to make a significant impact on the future of cloud services, we invite you to apply and be part of our revolutionary journey.
What you will be doing
- Develop and deploy AI-based monitoring solutions that predict and resolve potential issues before they affect operations.
- Oversee AI-driven CI/CD pipelines to enhance deployment processes and significantly reduce the need for manual intervention.
What you will NOT be doing
- Spending your time on manual system monitoring and troubleshooting; instead, leverage AI to handle these tasks effectively.
Key responsibilities
- Ensure seamless scalability and performance optimization for AI-enhanced cloud services, achieving 99.99% uptime while delivering tailored software upgrades and enhancements to client specifications.
Candidate requirements
- At least 2 years of experience in DevOps, with a focus on automating CI/CD pipelines and managing infrastructure.
- Minimum 2 years working with AWS or GCP.
- Proficient in AI and machine learning tools for monitoring, automation, and predictive analytics, or a strong desire to learn and adapt to these technologies.
- Excellent programming and scripting abilities, with a history of automating tasks and developing 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.
