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
Description
Traditional site reliability teams are known to struggle with manual monitoring, reactive troubleshooting, and deployment processes that demand significant labor. AI offers a pathway forward, yet many organizations underutilize its capabilities, leading to underperforming systems and innovation-stalling bottlenecks. Research indicates that 73% of organizations face deployment delays and operational downtime, largely driven by legacy processes and insufficient AI-driven automation.
IgniteTech addresses these challenges directly by developing AI-first cloud solutions engineered to anticipate and mitigate problems before they occur. Our focus centers on embedding AI and machine learning throughout cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. This methodology produces environments that self-heal and continuously adapt, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This role differs from conventional site reliability positions, where reactivity and manual intervention dominate. 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 touchpoints. 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 be joining a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our mission of delivering next-generation, AI-driven operational excellence. We're looking for someone passionate about AI and prepared to influence the future of cloud services in a meaningful way. If this resonates with you, we invite you to apply and become part of 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 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 to delegate these functions to AI
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 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.
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.
Frequently asked questions
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.