Cloud 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 that rely on manual monitoring, reactive troubleshooting, and labor-intensive deployment methods consistently fail to keep up with modern demands. While AI offers a clear path forward, most organizations fail to unlock its full capabilities, leaving their systems underperforming and their progress blocked by operational bottlenecks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely because of outdated workflows and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud platforms engineered to anticipate and eliminate problems before they occur. Our approach embeds AI and machine learning into every aspect 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 is not a conventional site reliability position centered on reacting to incidents and performing manual interventions. Instead, you will spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before they impact end users. You will also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% and dramatically reduce manual overhead. The right candidate excels in an AI-driven setting, embraces automation-first strategies, and is motivated to advance the state of the art in cloud infrastructure.
You will join a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our mission of delivering next-generation, AI-driven operational excellence. We are looking for someone passionate about AI and prepared to make a significant, lasting impact on the future of cloud services. If this describes you, we invite you to apply and contribute to something transformative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and remediate issues before they disrupt operations
- Overseeing CI/CD pipelines powered 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 handle these tasks for you
Key responsibilities
- Deliver seamless scalability and optimize 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.
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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