DevOps Consultant $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 teams frequently encounter challenges maintaining pace with manual monitoring, reactive troubleshooting, and deployment processes that demand significant labor. AI offers a pathway forward, yet numerous organizations underutilize its capabilities, leading to suboptimal system performance and innovation roadblocks. Research indicates that 73% of organizations face deployment delays and operational downtime, largely attributed to legacy processes and insufficient AI-driven automation.
IgniteTech addresses these challenges directly by developing cloud solutions with AI at their core, engineered to anticipate and prevent issues proactively. Our approach embeds AI and machine learning throughout cloud infrastructure management—from monitoring systems that operate autonomously to CI/CD pipelines equipped with intelligence. These environments achieve self-healing capabilities and continuous improvement, minimizing downtime, elevating performance, and expanding the scope of cloud service possibilities.
This site reliability role diverges from conventional positions centered on reactive problem-solving and manual intervention. You will spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before end users experience any impact. Additionally, you'll design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% and dramatically reduce manual touchpoints. The right candidate excels in AI-driven settings, embraces automation-first methodologies, and relishes advancing cloud infrastructure capabilities.
Joining IgniteTech means collaborating with a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our objective of delivering next-generation, AI-driven operational excellence. We are looking for professionals passionate about AI who are prepared to influence the future of cloud services meaningfully. If this describes you, we invite your application to participate in this transformative initiative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and resolve operational issues before they create impact
- Overseeing CI/CD pipelines enhanced by AI-driven automation to improve deployment efficiency and minimize manual intervention
What you will NOT be doing
- Concentrating exclusively on manual monitoring, troubleshooting, and system maintenance; your objective will be enabling AI to perform these functions autonomously
Key responsibilities
- Deliver seamless scalability and optimized performance for AI-powered cloud services, maintaining 99.99% uptime while executing AI-enhanced software upgrades and customizations aligned with clients' changing requirements
Candidate requirements
- AI-First Mindset (if your default approach is to write code first and subsequently use AI tools for verification or enhancement, rather than leading with AI, please do not apply)
- Minimum of 3 years in DevOps roles, encompassing automation of CI/CD pipelines and infrastructure management
- At least 2 years working with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Competency in AI and machine learning tools applied to monitoring, automation, and predictive analytics (or demonstrated eagerness to learn and adopt AI-driven technologies)
- Solid programming and scripting abilities, with background in automating tasks and constructing 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.
Chat-style screening interview.
Cognitive aptitude test.
Prove real-world job skills.
Interview with the hiring manager.
Accept Job Offer.
Pass proctored test.
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.