AI 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 ($30 USD/hour)
Description
Traditional site reliability teams often find themselves overwhelmed by the demands of manual monitoring, reactive troubleshooting, and cumbersome deployments. As AI emerges as a game-changer, many companies still lag behind, unable to harness its full potential, leading to underperforming systems and innovation barriers. Statistics reveal that 73% of businesses face deployment delays and operational downtimes due to antiquated processes and a lack of AI-driven automation.
At IgniteTech, we're tackling these challenges head-on by crafting AI-centric cloud solutions that anticipate and resolve issues proactively. Our mission is to weave AI and machine learning throughout cloud infrastructure management, from automated monitoring to intelligent CI/CD pipelines. This results in environments that not only self-heal but also continuously evolve, enhancing performance and minimizing downtime, thereby redefining the capabilities of cloud services.
In this role, you won't be stuck in the cycle of reacting to problems and manual interventions. Instead, you'll spearhead the creation of AI-powered monitoring systems that address 95% of issues before they reach users. You'll also design and oversee AI-automated CI/CD pipelines, cutting deployment times by 30% and reducing manual tasks. Ideal candidates thrive in AI-centric environments, are passionate about automation, and are eager to innovate cloud infrastructure design.
Join our global team of trailblazers at IgniteTech, where your work contributes to our mission of delivering cutting-edge, AI-driven operational excellence. We're looking for someone passionate about AI, ready to make a significant impact on the future of cloud services. If you're up for the challenge, we invite you to apply and be part of this revolutionary journey.
What you will be doing
- Deploying AI-driven monitoring services to automatically identify, predict, and resolve operational issues before they escalate.
- Managing AI-enhanced CI/CD pipelines to boost deployment efficiency and minimize manual interventions.
What you will NOT be doing
- Engaging in manual monitoring, troubleshooting, or system maintenance as your primary tasks; your focus will be on leveraging AI to handle these functions.
Key responsibilities
- Ensuring smooth scalability and performance optimization for AI-powered cloud services, guaranteeing 99.99% uptime and delivering AI-enhanced software updates and customizations in line with client needs.
Candidate requirements
- Minimum of 2 years in DevOps, focusing on automating CI/CD pipelines and infrastructure management.
- At least 2 years of experience with AWS or GCP.
- Proficiency or willingness to become proficient in AI and machine learning tools for monitoring, automation, and predictive analytics.
- Strong programming and scripting skills, with a background in automating tasks and developing AI-driven processes.
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
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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.
