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
Description
Are you tired of firefighting in traditional SRE roles where manual monitoring and reactive troubleshooting consume your days? Welcome to the future of cloud engineering. In an industry where 73% of organizations are hamstrung by deployment delays and operational downtime, IgniteTech stands apart with our revolutionary AI-first approach to cloud infrastructure.
We're not just implementing AI as an afterthought—we're embedding intelligent systems into the very fabric of our cloud architecture. Our vision: self-healing, continuously evolving environments that anticipate and resolve issues before they impact performance. This isn't about incremental improvements; it's about fundamentally transforming how cloud services operate.
As our AI Cloud Engineer, you'll spearhead the development of next-generation monitoring systems capable of detecting and autonomously resolving 95% of potential issues before users notice anything amiss. You'll architect AI-powered CI/CD pipelines that slash deployment times by 30% while dramatically reducing the need for human intervention. This role is for visionaries who see automation not as a tool, but as a foundation—engineers who get excited about teaching systems to manage themselves.
Join our global collective of forward-thinkers who are redefining what's possible in cloud infrastructure. Your innovations will directly contribute to our mission of delivering unparalleled operational excellence through artificial intelligence. If you're ready to pioneer the future rather than maintain the past, we want to meet you.
What you will be doing
- Design and deploy sophisticated AI-based monitoring services that not only detect issues but predict potential failures and implement resolutions autonomously
- Revolutionize deployment processes through AI-enhanced CI/CD pipelines, creating intelligent systems that learn and improve with each iteration
What you will NOT be doing
- Spending your valuable time on repetitive manual monitoring and troubleshooting tasks—your expertise will be focused on teaching AI systems to handle these routine operations so you can tackle more innovative challenges
Key responsibilities
- Engineer cloud infrastructure that not only delivers impressive 99.99% uptime but continuously evolves through AI-driven optimization, while implementing intelligent software enhancements that anticipate and adapt to client requirements before they're even articulated
Candidate requirements
- Demonstrated AI-First approach to problem-solving (Note: If you typically write code first and only later consider how AI might enhance it, this role isn't aligned with your workflow)
- Minimum 2 years of hands-on DevOps experience, with proven success in automating infrastructure management and CI/CD pipelines
- At least 2 years working with major cloud platforms (AWS or GCP), with deep understanding of their AI/ML service offerings
- Demonstrated expertise with AI and machine learning tools for predictive analytics and system automation, or exceptional aptitude and enthusiasm for rapidly mastering these technologies
- Advanced programming capabilities with particular emphasis on creating AI-augmented processes and automation frameworks
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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