Senior 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
Traditional site reliability teams face ongoing challenges with manual monitoring, reactive troubleshooting, and time-consuming deployment processes. While AI offers a path forward, many organizations underutilize its capabilities, leading to suboptimal system performance and innovation roadblocks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely attributable to legacy processes and insufficient AI-driven automation.
IgniteTech addresses these challenges directly by developing AI-first cloud solutions engineered to predict and prevent issues proactively. Our approach embeds 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 continuously adapt, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This role differs from conventional site reliability positions centered on reactive problem-solving and manual intervention. In this capacity, you'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before end users are affected. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while dramatically reducing manual tasks. The successful candidate excels in AI-driven environments, embraces automation-first strategies, and relishes advancing 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 seek someone passionate about AI and prepared to influence the future of cloud services meaningfully. If this describes you, we invite your application to join this 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 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 perform these functions
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 to verify or enhance your code, rather than the reverse, then please do not apply)
- Minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- Minimum of 2 years of 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 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.
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