Site Reliability 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
Elite SREs Don't Just Fix Problems—They Prevent Them with AI
While 73% of companies struggle with deployment delays and operational downtime, IgniteTech is redefining cloud infrastructure with AI-first solutions that anticipate and prevent issues before they materialize. We're not building traditional monitoring systems—we're creating intelligent environments that self-heal and continuously evolve.
This role puts you at the forefront of cloud innovation, architecting AI-enhanced systems that detect and resolve 95% of issues before users notice and managing intelligent CI/CD pipelines that slash deployment times by 30%. You won't be firefighting—you'll be building systems that eliminate fires altogether.
Join our global team of innovators who are setting new standards in cloud infrastructure. Your expertise in AI-driven operational excellence will directly shape the future of cloud services. This opportunity is reserved for forward-thinking engineers ready to transcend traditional SRE boundaries.
What you will be doing
- Design and implement predictive AI monitoring systems that identify potential failures before they occur, reducing alert fatigue by 80%
- Architect and optimize AI-powered CI/CD pipelines that autonomously test, validate, and deploy code with minimal human intervention
- Develop self-healing infrastructure using machine learning models that automatically scale, repair, and optimize cloud resources
- Collaborate with data scientists to refine AI algorithms that continuously improve operational efficiency and system reliability
What you will NOT be doing
- Spending hours manually reviewing logs and responding to false alarms—our AI handles routine monitoring
- Managing deployment schedules and coordinating release windows—our automated pipelines handle timing and sequencing
- Writing repetitive scripts for routine infrastructure tasks—you'll be teaching AI to generate and optimize these instead
- Implementing traditional monitoring solutions that require constant human attention and intervention
Key responsibilities
Candidate requirements
- Demonstrated AI-First approach to problem-solving (candidates who prioritize manual coding over AI-assisted solutions need not apply)
- 2+ years of DevOps experience with proven results in automating infrastructure management and CI/CD pipelines
- 2+ years of hands-on experience with AWS or GCP cloud platforms, including advanced service orchestration
- Proficiency in implementing AI and machine learning tools for predictive monitoring, automated remediation, and operational analytics
- Advanced programming skills with focus on creating AI-augmented processes that reduce human intervention in system operations
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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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.
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