DevOps Consultant $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
Description
Elite DevOps professionals are abandoning manual processes and reactive troubleshooting. The top 1% are building AI-first cloud infrastructures that anticipate failures before they occur. While 73% of companies remain trapped in deployment delays and operational downtime, you could be architecting self-healing systems that evolve continuously.
At IgniteTech, we're not just adopting AI—we're weaponizing it across our entire cloud infrastructure. Our monitoring systems detect anomalies before they become incidents. Our CI/CD pipelines optimize themselves. This isn't incremental improvement; it's a fundamental reimagining of what cloud operations can achieve.
This role demands someone who views manual intervention as a failure state. You'll build AI-enhanced monitoring systems that resolve 95% of issues autonomously and architect pipelines that slash deployment times by 30%. You won't just use AI tools—you'll think in AI-first principles, creating infrastructure that gets smarter with every deployment.
Join our elite team of cloud innovators who are setting new standards in operational excellence. Your contributions will directly shape the future of AI-driven cloud services. The revolution in cloud infrastructure is happening now—and we're looking for the architects who will lead it.
What you will be doing
- Design and implement predictive monitoring systems that leverage AI to detect patterns, anticipate failures, and automatically initiate remediation before users experience issues
- Architect next-generation CI/CD pipelines with embedded AI capabilities that continuously optimize deployment strategies based on performance metrics and system feedback
- Develop AI-driven infrastructure that scales intelligently, allocating resources based on predictive usage patterns rather than reactive thresholds
What you will NOT be doing
- Spending hours staring at dashboards waiting for alerts—your systems will identify and resolve most issues autonomously
- Manually executing deployments or performing repetitive configuration tasks that could be automated through AI
- Writing traditional infrastructure code without considering how AI can enhance, optimize, or eventually replace it
Key responsibilities
Candidate requirements
- Demonstrated AI-First Mindset—you must approach problems by first asking how AI can solve them, not how you would code the solution manually
- 2+ years of DevOps experience with proven success in automating infrastructure and operational workflows
- 2+ years of hands-on experience with AWS or GCP, including advanced service orchestration
- Proficiency with AI/ML tools for system monitoring, predictive analytics, and automated remediation
- Advanced programming skills with focus on creating self-optimizing systems and AI-augmented infrastructure
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.
Chat-style screening interview.
Cognitive aptitude test.
Prove real-world job skills.
Interview with the hiring manager.
Accept Job Offer.
Pass proctored test.
Frequently asked questions
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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.
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