DevOps Specialist $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
In the ever-evolving world of site reliability, traditional teams often find themselves overwhelmed by manual tasks and reactive fixes. Enter AI—a game-changer that many have yet to fully harness, leading to suboptimal systems and innovation roadblocks. Did you know that 73% of companies face deployment delays and operational downtime due to outdated practices and insufficient AI automation?
IgniteTech is revolutionizing this landscape with AI-first cloud solutions that proactively mitigate issues before they surface. By embedding AI and machine learning into every layer of our cloud infrastructure, we're crafting self-healing environments that not only minimize downtime but also enhance performance, setting new standards for cloud services.
This isn't your run-of-the-mill site reliability role. Here, you'll spearhead the development of AI-enhanced monitoring systems that preemptively resolve 95% of issues, keeping them invisible to end users. You'll also design and oversee AI-automated CI/CD pipelines, cutting deployment times by 30% and minimizing manual intervention. If you're passionate about AI-driven innovation and eager to redefine cloud infrastructure, this is your calling.
Join our global team of trailblazers at IgniteTech and be a pivotal force in our quest for AI-driven operational excellence. If you're ready to leave a mark on the future of cloud services, we welcome you to apply and be part of this transformative journey.
What you will be doing
- Deploy AI-based monitoring systems to proactively identify, forecast, and resolve issues, ensuring uninterrupted operations.
- Oversee CI/CD pipelines with AI-driven automation, boosting deployment efficiency and reducing manual tasks.
What you will NOT be doing
- Engaging in manual monitoring, troubleshooting, or routine maintenance; instead, you'll harness AI to automate these processes.
Key responsibilities
- Ensure seamless scalability and optimize performance for AI-powered cloud services, maintaining 99.99% uptime while delivering AI-enhanced upgrades and custom solutions tailored to client needs.
Candidate requirements
- Minimum of 2 years in DevOps, focusing on CI/CD pipeline automation and infrastructure management.
- At least 2 years of experience with AWS or GCP.
- Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics, or eagerness to learn and adapt to AI technologies.
- Strong programming and scripting skills, with experience in automating tasks and developing AI-driven processes.
How it works
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.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
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Why Crossover
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.
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AI-first remote workers.