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 are widely recognized for their difficulties in managing manual monitoring, reactive troubleshooting, and resource-heavy deployment processes. AI technology offers a clear path forward, yet numerous organizations underutilize its capabilities, leading to suboptimal system performance and innovation roadblocks. Research indicates that 73% of organizations face 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 engineered to anticipate and mitigate problems before they occur. Our approach embeds AI and machine learning throughout cloud infrastructure management, spanning 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 focused on reacting to incidents and performing manual interventions. In this role, you will spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before end users are affected. You will also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while minimizing manual intervention. The successful candidate will excel in an AI-driven setting, embrace automation-first methodologies, and demonstrate enthusiasm for advancing cloud infrastructure design.
You will join a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our objective of delivering next-generation, AI-driven operational excellence. We seek individuals who are passionate about AI and prepared to create a meaningful impact on the future of cloud services. If this describes you, we invite you to apply and participate in something transformative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and resolve issues before operational impact occurs
- 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 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 address clients' changing requirements
Candidate requirements
- AI-First Mindset (if your default approach is to write code first and then use AI tools to verify or enhance your code, rather than the reverse, please do not apply)
- A minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- At least 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 a strong willingness to learn and adapt to AI-driven technologies)
- Strong programming and scripting capabilities, 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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