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
Description
Are you ready to transcend traditional cloud architecture? In today's digital landscape, 73% of organizations are hamstrung by deployment bottlenecks and operational downtime—casualties of outdated infrastructure management approaches that fail to harness AI's transformative potential.
At IgniteTech, we're revolutionizing cloud infrastructure with our AI-first philosophy. We don't just react to problems—we build intelligent systems that anticipate challenges before they materialize. Our vision integrates advanced machine learning into every aspect of cloud management, creating self-evolving environments that continuously optimize performance while minimizing human intervention.
This role redefines what it means to be a Cloud Architect. You'll pioneer AI-enhanced monitoring systems capable of preemptively resolving 95% of potential issues and design intelligent CI/CD pipelines that slash deployment times by 30%. We're seeking a forward-thinking innovator who sees automation not as a tool, but as a fundamental approach to infrastructure design.
Join our global team of visionaries who are setting new standards in cloud technology. Your expertise will drive our mission to deliver unparalleled operational excellence through AI-powered solutions. If you're passionate about pushing the boundaries of what's possible in cloud architecture and eager to shape the future of technology, we want you on our team.
What you will be doing
- Designing and implementing predictive AI monitoring systems that can identify and resolve potential issues before they impact system performance
- Architecting intelligent CI/CD pipelines with embedded AI capabilities to streamline deployments and minimize manual oversight
What you will NOT be doing
- Engaging in traditional hands-on troubleshooting and system maintenance—your mission is to develop AI solutions that handle these tasks autonomously
Key responsibilities
- Engineering hyper-scalable cloud infrastructure with embedded AI capabilities that maintains 99.99% uptime while continuously adapting to deliver customized solutions that anticipate and fulfill client requirements
Candidate requirements
- Demonstrated AI-First approach to problem-solving (candidates who prioritize traditional coding over AI-assisted development should not apply)
- Minimum 2 years of hands-on DevOps experience with emphasis on pipeline automation and infrastructure orchestration
- At least 2 years working with AWS or GCP cloud environments
- Demonstrated expertise with AI/ML tools for system monitoring, process automation, and predictive analytics (or exceptional aptitude and enthusiasm for rapidly adopting these technologies)
- Advanced programming capabilities with particular focus on creating AI-augmented automation workflows
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.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
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