AI DevOps 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 consistently face challenges maintaining pace with manual monitoring, reactive problem-solving, and resource-heavy deployment workflows. While AI offers a clear path forward, most organizations fail to harness its capabilities effectively, leading to underperforming systems and innovation-blocking bottlenecks. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely driven by legacy processes and insufficient AI-powered automation.
IgniteTech is directly addressing these challenges by developing AI-first cloud platforms engineered to anticipate and mitigate issues before they materialize. Our approach embeds AI and machine learning throughout cloud infrastructure operations—from automated monitoring frameworks to intelligent CI/CD pipelines. The result is infrastructure that self-heals and continuously adapts, minimizing downtime, elevating performance, and expanding the capabilities of cloud services.
This position differs from conventional site reliability work, where reactive interventions and manual fixes dominate your time. Instead, you'll spearhead the development of AI-enhanced monitoring frameworks capable of identifying and resolving 95% of issues before users are affected. You'll design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% and dramatically reduce manual oversight. The right candidate excels in AI-centric environments, embraces automation-first methodologies, and is energized by advancing cloud infrastructure capabilities.
You'll collaborate with a global team of innovators redefining how cloud infrastructure operates. Your contributions will be central to our objective of achieving next-generation, AI-driven operational excellence. We're looking for someone driven by AI technologies and prepared to influence the future of cloud services. If this describes you, we invite you to apply and join a transformative effort.
What you will be doing
- Deploying AI-powered monitoring solutions that automatically identify, predict, and remediate issues before they disrupt operations
- Overseeing CI/CD pipelines enhanced with AI-driven automation to improve deployment speed and minimize manual tasks
What you will NOT be doing
- Concentrating exclusively on manual monitoring, troubleshooting, and system upkeep; instead, you'll enable AI to handle these functions autonomously
Key responsibilities
- Deliver seamless scalability and performance optimization for AI-powered cloud platforms, maintaining 99.99% uptime while executing AI-enhanced software upgrades and customizations aligned with evolving client requirements
Candidate requirements
- AI-First Mindset (if you instinctively write code first and subsequently use AI tools for verification or enhancement, rather than leading with AI, this role is not suitable for you)
- Minimum of 3 years in DevOps roles, with demonstrated experience automating CI/CD pipelines and managing infrastructure
- At least 2 years working 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 strong commitment to mastering AI-driven technologies)
- Solid programming and scripting capabilities, with a track record of automating workflows 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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