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
Not accepting applications on crossover.com at this time.
Description
Traditional site reliability teams face persistent challenges: manual monitoring, reactive troubleshooting, and deployment processes that demand significant manual effort. While AI offers a path forward, most organizations fail to harness its full capabilities, leading to underperforming systems and operational bottlenecks. Current data indicates that 73% of organizations experience deployment delays and operational downtime, largely driven by legacy processes and insufficient AI-driven automation.
IgniteTech addresses these challenges directly by developing cloud solutions with AI at their core—systems engineered to identify and prevent issues proactively. We embed AI and machine learning throughout cloud infrastructure management, from monitoring systems that run autonomously to CI/CD pipelines enhanced with intelligence. The result is infrastructure that self-heals and adapts continuously, minimizing downtime, elevating performance, and expanding what cloud services can achieve.
This position differs from conventional site reliability roles focused on reactive problem-solving and manual intervention. You will spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before users are affected. You will also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while minimizing manual effort. The right candidate excels in AI-driven settings, embraces automation-first methodologies, and is motivated to advance the state of cloud infrastructure design.
Joining this role means becoming part of a global team redefining cloud infrastructure standards. Your contributions will be central to our objective of delivering next-generation, AI-driven operational excellence. We are looking for someone deeply engaged with AI and prepared to shape the future of cloud services. If this resonates with you, we invite you to apply and contribute to this transformative effort.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and resolve operational issues before they affect performance
- 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 perform these functions
Key responsibilities
- Deliver seamless scalability and optimized performance for AI-powered cloud services, maintaining 99.99% uptime while providing AI-enhanced software upgrades and customizations that address clients' changing requirements
Candidate requirements
- AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
- At least 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- At least 2 years of experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Proficiency in AI and machine learning tools used for monitoring, automation, and predictive analytics (or strong willingness to learn and adapt to AI-driven technologies)
- Strong programming and scripting skills, with experience in automating tasks and building AI-driven processes
Applying for a role? Here’s what to expect.
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