DevOps Engineer, IgniteTech (Remote)

Job details

Job type

Full-time

Full job description

Traditional DevOps is being revolutionized by AI, yet 73% of organizations still grapple with deployment inefficiencies and operational downtime. At IgniteTech, we're not just adapting to this shift—we're leading it.

Our vision? Cloud infrastructure that thinks ahead. We're pioneering AI-integrated systems that don't just respond to problems—they anticipate and prevent them. This isn't about incremental improvements; it's about fundamentally transforming how cloud services operate, creating self-evolving environments that continuously optimize performance.

As our DevOps Engineer, you'll architect intelligent systems that detect and resolve 95% of issues before users notice anything amiss. You'll craft AI-automated pipelines that slash deployment times by 30% while minimizing human intervention. This role demands someone who sees AI not as a tool, but as a collaborator—someone who gets excited about teaching machines to handle the routine so you can focus on innovation.

Join our global team of forward-thinkers who are redefining what's possible in cloud infrastructure. Your expertise will directly contribute to our mission of delivering AI-powered operational excellence that sets new industry standards. If you're ready to work at the intersection of DevOps and artificial intelligence, we're ready to welcome you to the revolution.

What you will be doing

Design and deploy AI-powered monitoring systems that can predict potential failures and self-heal before service disruption occurs
Orchestrate and enhance CI/CD pipelines with intelligent automation, creating deployment processes that learn and improve over time

What you will NOT be doing

Spending your days on repetitive manual interventions and reactive firefighting—your mission is to train AI systems to handle these tasks autonomously

Key Responsibilities

Engineer hyper-scalable cloud infrastructure with embedded AI capabilities that maintains 99.99% uptime while continuously evolving to meet client demands through intelligent, automated software enhancements

Candidate Requirements

Demonstrated AI-First approach to problem-solving (you should instinctively ask "How can AI solve this?" before writing code yourself)
Minimum 2 years hands-on DevOps experience with emphasis on pipeline automation and infrastructure orchestration
At least 2 years working with AWS or GCP cloud environments
Demonstrated expertise with AI/ML monitoring tools and predictive analytics platforms (or exceptional enthusiasm and aptitude for rapidly mastering these technologies)
Advanced programming capabilities with a focus on creating AI-augmented automation systems and intelligent workflows

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