AI 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
Traditional site reliability teams often find it difficult to keep up with manual monitoring, reactive troubleshooting, and deployment processes that require significant manual effort. AI offers a way forward, yet many organizations struggle to harness its full capabilities, leading to underperforming systems and innovation bottlenecks. Research indicates that 73% of companies experience deployment delays and operational downtime, largely due to legacy processes and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud solutions designed to anticipate and mitigate problems before they occur. Our approach involves embedding AI and machine learning into all aspects of cloud infrastructure management, including automated monitoring and intelligent CI/CD pipelines. This creates environments that self-heal and continuously improve, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This role differs from typical site reliability positions that involve reacting to issues and manual intervention when failures happen. In this position, 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% and dramatically reduce the need for manual involvement. The right candidate will excel in an AI-driven setting, embrace automation-first strategies, and be eager to challenge conventional cloud infrastructure design.
You'll become part of a global team of innovators who are transforming cloud infrastructure. Your contributions will be central to our goal of delivering next-generation, AI-driven operational excellence. We're looking for someone passionate about AI and prepared to shape the future of cloud services. If this describes you, we invite you to apply and join something transformative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and address issues before they disrupt operations
- 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 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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