AI DevOps 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
The future of cloud infrastructure isn't just about keeping systems running—it's about making them intelligent. While 73% of organizations are drowning in deployment delays and operational chaos due to reactive, manual processes, forward-thinking companies are embracing AI-powered solutions that transform how we approach DevOps entirely.
At IgniteTech, we're not just adopting AI as an afterthought; we're architecting the next generation of cloud infrastructure where artificial intelligence isn't a tool—it's the foundation. Our systems don't just respond to problems; they predict, prevent, and self-optimize in ways that traditional DevOps teams could never achieve manually.
We're seeking an AI DevOps Engineer who thinks beyond conventional boundaries. This isn't about patching systems when they break or manually deploying code updates. Instead, you'll be crafting intelligent infrastructure that learns, adapts, and evolves autonomously. Imagine building monitoring systems so sophisticated they resolve 95% of issues before users even know they existed, or designing CI/CD pipelines that cut deployment times by 30% while virtually eliminating human error.
Join our global collective of infrastructure innovators who are rewriting the rules of operational excellence. If you're energized by the prospect of leading an AI-first revolution in cloud services and want to shape the future of how technology operates, this opportunity is calling your name.
What you will be doing
- Architecting intelligent monitoring ecosystems that leverage AI to predict, identify, and autonomously resolve operational challenges before they surface
- Engineering AI-enhanced CI/CD workflows that streamline deployment processes through intelligent automation and minimal human oversight
What you will NOT be doing
- Getting bogged down in reactive firefighting or manual system babysitting—your mission is to empower AI to handle these operational burdens autonomously
Key responsibilities
- Drive exceptional scalability and performance optimization for AI-integrated cloud platforms, maintaining 99.99% service availability while orchestrating intelligent software enhancements and bespoke solutions that evolve with client requirements
Candidate requirements
- AI-Native Approach (if you naturally reach for traditional coding methods before leveraging AI assistance and enhancement, this role isn't aligned with your workflow)
- Minimum 3 years of hands-on DevOps expertise, encompassing automated CI/CD pipeline development and infrastructure orchestration
- At least 2 years of practical experience with major cloud platforms (AWS or Google Cloud Platform)
- Demonstrated competency with AI and machine learning frameworks for monitoring, automation, and predictive intelligence (or genuine enthusiasm to master AI-centric methodologies)
- Advanced programming and scripting capabilities, with proven experience in task automation and AI-powered process development
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.
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