Site Reliability 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
Elite SREs aren't born—they're engineered. And while others scramble with manual interventions and reactive firefighting, you're ready to architect systems that anticipate failures before they occur. At IgniteTech, we're not interested in traditional reliability engineers. We need visionaries who see AI not as a tool, but as a teammate.
We're building AI-first cloud solutions that redefine operational excellence. Our systems don't just respond to problems—they predict and prevent them. While 73% of companies struggle with deployment delays and operational downtime, our AI-driven infrastructure slashes these metrics and accelerates innovation.
This role is for engineers who refuse to accept the status quo. You'll spearhead AI-enhanced monitoring systems that catch 95% of issues before users notice and design intelligent CI/CD pipelines that cut deployment times by 30%. You won't just manage infrastructure—you'll transform it.
Join our global team of innovators who are setting new standards in cloud infrastructure. Your expertise will drive our mission to deliver unmatched, AI-powered operational excellence. If you're ready to pioneer the future of cloud services rather than maintain the past, we're waiting for you.
What you will be doing
- Architect and implement sophisticated AI monitoring systems that predict potential failures hours before they materialize
- Engineer AI-driven CI/CD pipelines that continuously optimize deployment efficiency and eliminate repetitive human interventions
- Design self-healing infrastructure that uses machine learning to adapt to changing conditions and workloads
- Collaborate with cross-functional teams to integrate AI capabilities across all operational touchpoints
What you will NOT be doing
- Manually responding to alerts at 3 AM when intelligent systems can handle the issue automatically
- Writing repetitive scripts for problems that AI can solve more efficiently
- Spending hours combing through logs when machine learning can identify patterns instantly
- Managing infrastructure that doesn't learn from its operational history
Key responsibilities
Transform our cloud infrastructure into an autonomous, self-optimizing ecosystem that delivers 99.99% uptime while continuously evolving to meet client demands without human intervention.
Candidate requirements
- Demonstrated AI-First Mindset—you instinctively leverage AI tools before writing code, not after
- 2+ years of DevOps experience, with proven success in automating CI/CD pipelines and infrastructure management
- 2+ years hands-on experience with AWS or GCP, particularly in implementing scalable, resilient architectures
- Proficiency with AI and machine learning tools for monitoring, automation, and predictive analytics
- Advanced programming skills with a focus on creating AI-driven processes that reduce human intervention
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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