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 are hampered by manual monitoring, reactive troubleshooting, and labor-intensive deployment processes. AI offers a way forward, yet many organizations fail to harness its full capabilities, leading to underperforming systems and innovation-blocking bottlenecks. Research indicates that 73% of companies face deployment delays and operational downtime, largely due to outdated workflows and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud solutions engineered to anticipate and prevent issues before they occur. We embed AI and machine learning into every layer of cloud infrastructure management—from 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 possibilities of cloud services.
This role differs from conventional site reliability positions that center on reacting to incidents and manual intervention. Instead, you'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 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% and dramatically reduce manual tasks. The right candidate excels in AI-driven settings, embraces automation-first strategies, and is eager to advance the state of cloud infrastructure design.
You'll collaborate with a global team of innovators who are reshaping cloud infrastructure. Your contributions will be central to our mission of delivering next-generation, AI-powered operational excellence. We're looking for someone passionate about AI and prepared to make a meaningful impact on the future of cloud services. If that describes you, we invite you to apply and join 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 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 enable AI to handle these tasks
Key responsibilities
- Deliver seamless scalability and optimize performance 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 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)
- A minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- A minimum of 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.
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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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