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
Site reliability teams relying on manual monitoring, reactive troubleshooting, and labor-intensive deployments consistently fail to maintain operational velocity. While AI offers a path forward, most organizations underutilize it, leading to underperforming systems and innovation-blocking bottlenecks. Research indicates that 73% of organizations face deployment delays and operational downtime caused largely by outdated workflows and insufficient AI-driven automation.
IgniteTech addresses these challenges directly by developing AI-first cloud solutions engineered to predict and prevent issues before they occur. Our approach embeds AI and machine learning across all aspects of cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. The result is infrastructure that self-heals and continuously adapts, 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 will architect AI-enhanced monitoring systems capable of detecting and resolving 95% of incidents before end users are affected. You will also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while eliminating manual steps. The right candidate excels in AI-driven environments, embraces automation-first principles, and seeks to advance the frontiers of cloud infrastructure design.
Joining IgniteTech means collaborating with a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our mission of delivering next-generation, AI-powered operational excellence. We are looking for someone passionate about AI who is ready to drive lasting change in cloud services. If this describes you, we invite you to apply and contribute to this transformative work.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and remediate issues before operational impact occurs
- Overseeing CI/CD pipelines enhanced with AI-driven automation to increase 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 perform these functions
Key responsibilities
- Deliver seamless scalability and performance optimization for AI-powered cloud services, maintaining 99.99% uptime while implementing AI-enhanced software upgrades and customizations aligned with evolving client 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 leading with AI, please do not apply)
- A minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- A minimum of 2 years of hands-on experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics (or a strong willingness to learn and adapt to AI-driven technologies)
- Strong programming and scripting capabilities, with 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.
Accept Job Offer.
Pass proctored test.
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
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.
Join the world's largest community of 
AI-first remote workers.