Cloud Architect $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 widely known to struggle with reactive troubleshooting, manual monitoring, and deployment processes that consume excessive time and resources. While AI offers a clear path forward, most organizations fail to harness its full capabilities, leading to underperforming systems and innovation barriers. Evidence indicates that 73% of companies experience 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 that place AI at the foundation. Our approach embeds AI and machine learning throughout cloud infrastructure management—from intelligent monitoring frameworks to automated CI/CD pipelines. The result is infrastructure that self-heals and continuously adapts, minimizing downtime, elevating performance, and expanding the capabilities of cloud services.
This is not a conventional site reliability position centered on reactive problem-solving and manual intervention. In this role, you will spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before users are affected. You will also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% and drastically reduce manual touchpoints. The right candidate will excel in an AI-driven setting, embrace automation-first methodologies, and be motivated to advance the state of cloud infrastructure design.
You will be joining a global team of innovators redefining how cloud infrastructure operates. Your contributions will be central to our mission of delivering next-generation, AI-driven operational excellence. We are looking for someone passionate about AI who is prepared to shape 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 remediate issues before they disrupt operations
- Overseeing CI/CD pipelines enhanced with AI-driven automation to improve deployment efficiency and minimize manual involvement
What you will NOT be doing
- Concentrating exclusively on manual monitoring, troubleshooting, and system maintenance; your objective will be to enable AI to perform these functions for you
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 then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
- At least 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- At least 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.
Pass
proctored test.
Accept job offer.
Frequently asked questions
About the role
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.