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
Not accepting applications on crossover.com at this time.
Description
Elite DevOps Engineers are transforming into AI Orchestrators—are you ready to lead this evolution? While traditional teams struggle with reactive troubleshooting and manual deployments, forward-thinking engineers are leveraging AI to create self-healing, continuously evolving cloud infrastructures that anticipate problems before they occur.
At IgniteTech, we're not just adopting AI—we're building AI-first cloud solutions that fundamentally reimagine operational excellence. Our systems detect and resolve 95% of issues before users notice, while our AI-automated pipelines slash deployment times by 30% with minimal human intervention.
This role demands someone who doesn't just understand DevOps principles but can envision and implement their AI-powered future—creating infrastructure that learns, adapts, and optimizes itself. Join our global team of innovators who are setting new standards for what cloud services can achieve.
What you will be doing
- Architect and implement AI-based monitoring systems that predict failures and self-heal before alerts trigger
- Design and optimize AI-driven CI/CD pipelines that continuously improve deployment efficiency
- Develop machine learning models that analyze operational patterns to automate resource allocation and scaling
- Create intelligent automation frameworks that transform manual DevOps tasks into AI-orchestrated workflows
What you will NOT be doing
- Responding to 3AM alerts for problems an AI could have predicted hours earlier
- Manually reviewing logs and metrics that should be automatically analyzed by intelligent systems
- Writing repetitive scripts for tasks that could be handled by machine learning algorithms
- Implementing traditional monitoring solutions that lack predictive capabilities
Key responsibilities
Candidate requirements
- AI-First Mindset: You instinctively consider how AI can solve a problem before writing manual code
- 2+ years of DevOps experience with demonstrated success in automating infrastructure management
- 2+ years working with AWS or GCP cloud platforms and their respective AI/ML services
- Proficiency with AI monitoring tools, predictive analytics, and machine learning frameworks
- Strong programming skills with emphasis on developing AI-augmented automation solutions
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.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
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The Olympics of work
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Premium pay for premium talent
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