AI Site Reliability 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Traditional site reliability methods are becoming obsolete, bogged down by outdated manual monitoring and troubleshooting. With the rise of AI, there's a new way forward, yet many companies are hesitant or unable to fully embrace it. This results in underperforming systems and innovation bottlenecks. Did you know that 73% of businesses face deployment delays and operational hiccups due to a lack of AI-driven automation?
IgniteTech is at the forefront of this technological shift, crafting AI-centric cloud solutions to preempt issues before they arise. We seamlessly integrate AI and machine learning into every aspect of cloud infrastructure management, from automated monitoring to intelligent CI/CD pipelines. This ensures environments that self-heal and evolve, drastically reducing downtime and enhancing performance, setting new standards for cloud services.
This role isn't about reacting to issues with manual fixes. As an AI Site Reliability Engineer, you'll be pioneering AI-driven monitoring systems that resolve 95% of issues before users even notice. You'll design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% and minimize manual tasks. We seek individuals who thrive in AI-driven settings, are passionate about automation-first solutions, and are eager to redefine cloud infrastructure design.
Join our global team of trailblazers at IgniteTech, where your contributions will be pivotal in achieving AI-driven operational excellence. If you're passionate about AI and want to shape the future of cloud services, we invite you to apply and be part of this groundbreaking journey.
What you will be doing
- Deploying AI-based monitoring systems to foresee, detect, and resolve issues before they affect operations.
- Overseeing CI/CD pipelines with AI-automation to boost deployment speed and minimize manual interventions.
What you will NOT be doing
- Relying solely on manual monitoring, troubleshooting, and system maintenance; instead, you'll harness AI to handle these tasks.
Key responsibilities
- Ensure seamless scalability and optimize performance for AI-powered cloud services, maintaining 99.99% uptime while delivering AI-enhanced software upgrades and customizations to meet evolving client needs.
Candidate requirements
- Embrace an AI-First Mindset (if your first instinct is to code and then use AI tools to verify or improve it, this role may not be for you).
- A minimum of 2 years' experience in DevOps, including automating CI/CD pipelines and managing infrastructure.
- At least 2 years of experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP).
- Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics (or a strong willingness to learn and adapt to AI-driven technologies).
- Strong programming and scripting skills, with experience in task automation 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.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
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.