It's no secret that traditional site reliability teams struggle to keep pace with manual monitoring, reactive troubleshooting, and labor-intensive deployments. The rise of AI presents a solution, but many companies fail to fully leverage its potential, resulting in systems that underperform and bottlenecks that stifle innovation. Data shows that 73% of companies struggle with deployment delays and operational downtime, primarily due to outdated processes and lack of AI-driven automation.
At IgniteTech, we are tackling these issues head-on by building AI-first cloud solutions that are designed to anticipate and prevent problems before they arise. We focus on integrating AI and machine learning into every facet of cloud infrastructure management, from automated monitoring systems to intelligent CI/CD pipelines. This approach creates environments that not only self-heal but also continuously evolve, reducing downtime, improving performance, and pushing the boundaries of what cloud services can do.
This isn’t your typical site reliability role, where you'd be reacting to problems and manually intervening when things go wrong. Here, you’ll lead the charge in building AI-enhanced monitoring systems that detect and resolve 95% of issues before they ever reach end users. You’ll also architect and manage AI-automated CI/CD pipelines that reduce deployment times by 30% while slashing manual interventions. The ideal candidate thrives in an AI-driven environment, is excited by the prospect of automation-first solutions, and enjoys pushing the envelope of cloud infrastructure design.
In this role, you’ll join a global team of innovators who are redefining cloud infrastructure. Your work will play a key role in our mission to deliver next-gen, AI-driven operational excellence. We’re seeking someone who is passionate about AI and ready to make a lasting impact on the future of cloud services. If that’s you, we encourage you to apply and be part of something revolutionary.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
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.