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
Not accepting applications on crossover.com at this time.
Description
Traditional site reliability teams face persistent challenges: manual monitoring, reactive troubleshooting, and deployment processes that consume excessive time and resources. While AI offers a clear path forward, most organizations fail to harness its full capabilities, leaving systems underperforming and innovation constrained. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely attributable to legacy processes and insufficient AI-driven automation.
IgniteTech addresses these challenges directly by developing AI-first cloud solutions engineered to identify and prevent issues before they materialize. We embed AI and machine learning throughout cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. This creates environments capable of self-healing and continuous improvement, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This role differs fundamentally from conventional site reliability positions focused on reactive problem-solving and manual intervention. You'll spearhead the development of AI-enhanced monitoring systems that detect and remediate 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% while dramatically reducing manual touchpoints. The successful candidate excels in AI-driven settings, embraces automation-first methodologies, and seeks to advance cloud infrastructure design.
You'll collaborate with a global team of innovators reshaping cloud infrastructure. Your contributions will directly support our objective of delivering next-generation, AI-driven operational excellence. We're looking for individuals passionate about AI who are prepared to influence the future of cloud services meaningfully. If this describes you, we invite your application to join a 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 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 enabling AI to perform these functions autonomously
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 aligned with clients' changing 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 the reverse, please do not apply)
- Minimum 3 years of DevOps experience, including CI/CD pipeline automation and infrastructure management
- Minimum 2 years of hands-on experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics (or demonstrated willingness to learn and adapt to AI-driven technologies)
- Strong programming and scripting capabilities, with proven experience 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.
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aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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