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
Not accepting applications on crossover.com at this time.
Description
Traditional site reliability teams are known to struggle with manual monitoring, reactive troubleshooting, and time-consuming deployment processes. AI offers a path forward, yet many organizations fail to harness its full capabilities, leading to underperforming systems and bottlenecks that limit innovation. Research indicates that 73% of companies experience deployment delays and operational downtime, largely due to outdated workflows and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud solutions designed to anticipate and mitigate problems before they occur. We embed AI and machine learning into every layer of cloud infrastructure management, spanning automated monitoring systems and intelligent CI/CD pipelines. This strategy produces environments that self-heal and continuously adapt, minimizing downtime, enhancing performance, and expanding the possibilities of cloud services.
This role differs from conventional site reliability positions, where you would primarily respond to incidents and perform manual interventions. Instead, you'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before they affect end users. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while drastically reducing manual tasks. The right candidate excels in AI-driven settings, embraces automation-first strategies, and is eager to advance the frontiers of cloud infrastructure design.
In this position, you'll collaborate with a global team of innovators who are transforming cloud infrastructure. Your contributions will be central to our goal of delivering next-generation, AI-driven operational excellence. We're looking for someone who is passionate about AI and prepared to shape the future of cloud services. If this resonates with you, we invite you to apply and join a revolutionary effort.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and resolve issues before they disrupt operations
- Overseeing CI/CD pipelines with AI-driven automation to improve deployment efficiency and minimize manual intervention
What you will NOT be doing
- Concentrating solely on manual monitoring, troubleshooting, and system maintenance; your objective will be to enable AI to handle these tasks for you
Key responsibilities
- Deliver seamless scalability and optimize performance for AI-powered cloud services, maintaining 99.99% uptime while providing AI-enhanced software upgrades and customizations that address clients' evolving requirements
Candidate requirements
- AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
- At least 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- At least 2 years of experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Proficiency in AI and machine learning tools used for monitoring, automation, and predictive analytics (or strong willingness to learn and adapt to AI-driven technologies)
- Strong programming and scripting skills, with experience in automating tasks and building AI-driven processes
Applying for a role? Here’s what to expect.
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aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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