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
Conventional site reliability teams often find themselves overwhelmed by manual monitoring, reactive issue resolution, and deployment processes that demand excessive manual effort. AI technology offers a path forward, yet most organizations underutilize it, leading to suboptimal system performance and innovation roadblocks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely attributed to legacy processes and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud solutions engineered 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 methodology produces environments that self-heal and adapt continuously, minimizing downtime, enhancing performance, and expanding the possibilities of cloud services.
This position differs from conventional site reliability roles focused on reactive problem-solving and manual intervention. Instead, you'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues 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 touchpoints. The right candidate excels in AI-driven contexts, embraces automation-first strategies, and relishes advancing the state of cloud infrastructure design.
You'll collaborate with a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our objective of delivering next-generation, AI-driven operational excellence. We're looking for someone passionate about AI and prepared to influence the future of cloud services meaningfully. If this describes you, we invite you to apply and join a transformative initiative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and resolve issues before operational impact occurs
- Overseeing CI/CD pipelines enhanced by 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; the objective is to enable AI to handle these functions on your behalf
Key responsibilities
- Deliver seamless scalability and performance optimization for AI-powered 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 subsequently use AI tools for verification or enhancement, rather than leading with AI, please do not apply)
- A minimum of 3 years of DevOps experience, including CI/CD pipeline automation 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 demonstrated eagerness to learn and adopt AI-driven technologies)
- Strong programming and scripting capabilities, with experience automating tasks and constructing 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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