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 are widely known to face challenges with manual monitoring, reactive troubleshooting, and deployment processes that require significant manual effort. While AI offers a promising path forward, many organizations have yet to fully harness its capabilities, leading to underperforming systems and innovation-blocking bottlenecks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely attributed to legacy processes and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing cloud solutions that place AI at their core, designed to predict and prevent issues proactively. Our approach integrates AI and machine learning throughout cloud infrastructure management—from monitoring systems that operate autonomously to CI/CD pipelines equipped with intelligence. The result is infrastructure that not only recovers on its own but also adapts continuously, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This position differs from conventional site reliability roles that center 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 users are affected. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while dramatically reducing the need for manual steps. The right candidate will flourish in an AI-centric environment, find excitement in automation-first approaches, and relish the opportunity to advance cloud infrastructure design.
You'll become part of a global team of forward-thinkers who are transforming cloud infrastructure. Your contributions will be central to our objective of delivering next-generation, AI-powered operational excellence. We're looking for someone enthusiastic about AI and prepared to leave a meaningful mark on the future of cloud services. If this describes you, we invite you to apply and join this transformative initiative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and remediate issues before operational impact occurs
- Overseeing CI/CD pipelines enhanced with AI-driven automation to improve deployment efficiency and minimize manual involvement
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
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 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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