AI 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
Not accepting applications on crossover.com at this time.
Description
Traditional site reliability teams face persistent challenges with manual monitoring, reactive troubleshooting, and resource-heavy deployment processes. AI offers a path forward, yet most organizations fail to harness its full capabilities, leading to underperforming systems and innovation-blocking bottlenecks. Research indicates that 73% of organizations encounter deployment delays and operational downtime, largely driven by legacy processes and insufficient AI-powered automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud infrastructure designed to predict and prevent issues proactively. We embed AI and machine learning throughout cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. This strategy produces environments that self-heal and continuously adapt, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This role differs from conventional site reliability positions focused on reactive problem-solving and manual intervention. You'll spearhead the development of AI-enhanced monitoring frameworks that identify and remediate 95% of incidents before users are affected. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while dramatically reducing manual effort. The successful candidate excels in AI-driven settings, embraces automation-first strategies, and is energized by advancing cloud infrastructure design.
You'll collaborate with a global team of innovators redefining cloud infrastructure standards. Your contributions will be central to our mission of delivering next-generation, AI-powered operational excellence. We're looking for someone passionate about AI and committed to shaping the future of cloud services. If this describes you, we invite you to apply and join a transformative effort.
What you will be doing
- Deploying AI-powered monitoring services that automatically detect, predict, and remediate issues before operational impact occurs
- Overseeing CI/CD pipelines enhanced with AI-driven automation to improve deployment efficiency and minimize manual intervention
What you will NOT be doing
- Concentrating exclusively on manual monitoring, troubleshooting, and system maintenance; your objective will be to enable AI to handle these tasks autonomously
Key responsibilities
- Deliver seamless scalability and optimize performance for AI-driven cloud services, maintaining 99.99% uptime while providing AI-enhanced software upgrades and customizations aligned with clients' changing requirements
Candidate requirements
- AI-First Mindset (if your default approach is to write code first and then apply AI tools for verification or enhancement, rather than the reverse, please do not apply)
- Minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- At least 2 years of hands-on experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Proficiency with AI and machine learning tools for monitoring, automation, and predictive analytics (or demonstrated willingness to learn and adopt AI-driven technologies)
- Strong programming and scripting capabilities, with proven experience automating tasks and developing AI-driven processes
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.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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