AI Cloud 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 

Any country
Fully-remote
full-time (40 hrs/week)
Flexible schedule
Long-term role

AI Cloud Engineer   $60,000 USD/year

Description

Welcome to the future of cloud engineering, where AI isn't just a buzzword—it's the cornerstone of everything we do. In a world where 73% of companies are held back by traditional operational constraints, IgniteTech is charting a different course. We're not just keeping up with the cloud revolution; we're leading it with AI at the helm.

Imagine a cloud infrastructure that thinks ahead, predicts challenges, and resolves issues before they surface. That's not science fiction—it's what we're building right now. Our AI-first approach has transformed conventional cloud operations into intelligent, self-evolving systems that set new standards for reliability and efficiency.

As our AI Cloud Engineer, you'll be the architect of this intelligent infrastructure, crafting solutions that make manual monitoring and reactive troubleshooting obsolete. You'll work with cutting-edge AI systems that reduce deployment times by 30% and automatically resolve 95% of potential issues before they affect our users.

If you're excited by the prospect of teaching machines to do what humans have traditionally done—only better and faster—then we want to talk to you. This role isn't about maintaining the status quo; it's about revolutionizing how cloud infrastructure operates in an AI-driven world.

What you will be doing

  • Design and implement next-generation AI monitoring systems that don't just detect issues—they predict and prevent them
  • Orchestrate intelligent CI/CD pipelines that leverage AI to maximize efficiency and minimize human intervention

What you will NOT be doing

  • Don't expect to spend your days manually putting out fires or performing routine maintenance—your mission is to create AI systems that handle these tasks autonomously

Key responsibilities

  • Engineer and maintain AI-powered cloud solutions that deliver exceptional performance with 99.99% uptime, while continuously evolving to meet and exceed client expectations through intelligent, automated improvements

Candidate requirements

  • A demonstrated AI-first approach to problem-solving (AI should be your first tool of choice, not an afterthought)
  • Minimum 2 years of hands-on DevOps experience, with proven success in pipeline automation and infrastructure management
  • 2+ years working with major cloud platforms (AWS/GCP)
  • Strong command of AI/ML tools for system monitoring and predictive analytics (or an insatiable appetite to master these technologies)
  • Advanced programming capabilities with a focus on AI-driven process automation

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