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 well-documented challenges: manual monitoring, reactive troubleshooting, and deployment processes that consume excessive time and resources. While AI offers a clear path forward, most organizations have yet to harness its full capabilities, leading to underperforming systems and operational bottlenecks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely attributable to legacy processes and insufficient adoption of AI-driven automation.
IgniteTech addresses these challenges directly by developing AI-first cloud infrastructure designed to identify and mitigate problems proactively. Our approach embeds AI and machine learning throughout cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. The result is infrastructure that self-heals and continuously improves, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This position differs fundamentally 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 end users are affected. You will also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while dramatically reducing manual overhead. The successful candidate excels in AI-driven environments, embraces automation-first methodologies, and is energized by advancing the state of cloud infrastructure design.
You will 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 are looking for someone passionate about AI who is 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 remediate issues before they affect operations
- 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; 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 that align with evolving client 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, then this role is not suitable)
- 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)
- Competence in AI and machine learning tools applied to monitoring, automation, and predictive analytics (or a demonstrated commitment to learning and adopting AI-driven technologies)
- Solid programming and scripting capabilities, with a track record of 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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