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
Not accepting applications on crossover.com at this time.
Description
Traditional site reliability teams frequently encounter challenges in maintaining pace with manual monitoring, reactive troubleshooting, and deployment processes that require significant manual effort. While AI technology offers a path forward, numerous organizations have yet to harness its full capabilities, leading to underperforming systems and innovation-blocking bottlenecks. Evidence indicates that 73% of organizations face deployment delays and operational downtime, largely attributable to legacy processes and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing cloud solutions with AI at their core—solutions engineered to foresee and avert problems before they materialize. 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 evolves continuously, minimizing downtime, enhancing performance, and expanding the possibilities of cloud service delivery.
This position differs from conventional site reliability roles centered on reactive problem-solving and manual intervention. Instead, you'll spearhead the creation 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 manual involvement. The right candidate flourishes in AI-driven settings, embraces automation-first strategies, and is energized by advancing cloud infrastructure design.
You'll become part of a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our objective of delivering next-generation, AI-powered operational excellence. We're looking for someone passionate about AI who is prepared to leave a meaningful mark on 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 identify, predict, and remediate issues before operational impact occurs
- Overseeing CI/CD pipelines enhanced 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 leverage AI to perform these functions
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 default approach is to write code first and subsequently use AI tools to verify or improve your code, rather than the reverse, please do not apply)
- A minimum of 3 years of DevOps experience, encompassing automation of CI/CD pipelines and infrastructure management
- A minimum of 2 years of hands-on experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Competency in AI and machine learning tools applied to monitoring, automation, and predictive analytics (or demonstrated eagerness to learn and adjust to AI-driven technologies)
- Solid programming and scripting capabilities, with a track record of automating tasks and developing AI-driven processes
Applying for a role? Here’s what to expect.
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Interview with the hiring manager.
Pass
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Accept job offer.
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