Cloud Engineer $60,000 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
In a world where traditional site reliability teams often find themselves bogged down by manual processes and reactive measures, IgniteTech is pioneering a new era of cloud solutions. By harnessing the power of AI, we are transforming cloud infrastructure management into a proactive and self-evolving system. Our mission is to integrate AI and machine learning into every layer of cloud operations, eliminating bottlenecks and minimizing downtime.
We are not looking for a conventional site reliability engineer. Instead, we seek innovators who will lead the development of AI-enhanced monitoring systems that preemptively address 95% of potential issues. You'll also design and oversee AI-automated CI/CD pipelines, cutting deployment times and manual tasks by a significant margin. If you're passionate about automation and eager to redefine the future of cloud services, IgniteTech is the place for you.
Join our global team and contribute to a groundbreaking shift in how cloud services are delivered. Your expertise will be crucial in our journey towards AI-driven operational excellence. If you're ready to be part of this transformative movement, we invite you to apply and help shape the future of cloud technology.
What you will be doing
- Develop and implement AI-driven monitoring services that proactively identify and resolve issues before they impact business operations.
- Oversee AI-enhanced CI/CD pipelines to streamline deployments, minimizing manual efforts and enhancing efficiency.
What you will NOT be doing
- Engaging in manual monitoring, troubleshooting, or maintenance tasks. Instead, you'll focus on enabling AI to handle these processes autonomously.
Key responsibilities
- Ensure scalable and optimized performance for AI-powered cloud services, achieving 99.99% uptime while delivering AI-driven software updates and custom solutions tailored to client needs.
Candidate requirements
- Possess an AI-centric mindset, prioritizing AI tools to enhance or validate your code rather than the other way around.
- Minimum of 2 years experience in DevOps, particularly in automating CI/CD pipelines and infrastructure management.
- 2+ years of hands-on experience with AWS or GCP.
- Proficiency or strong willingness to learn AI and machine learning tools for monitoring, automation, and predictive analytics.
- Advanced programming and scripting abilities, with a track record of automating and developing 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.
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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