DevOps Engineer $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 often face challenges keeping up with manual monitoring, reactive troubleshooting, and deployment processes that require significant manual effort. While AI offers a pathway forward, many organizations fail to harness its full capabilities, leading to underperforming systems and bottlenecks that limit innovation. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely due to legacy processes and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud solutions engineered to anticipate and prevent issues before they occur. We embed AI and machine learning throughout cloud infrastructure management—from automated monitoring to intelligent CI/CD pipelines. This strategy produces environments that self-heal and continuously improve, minimizing downtime, enhancing performance, and expanding the possibilities of cloud services.
This role differs from conventional site reliability positions focused on reacting to incidents and performing manual interventions. Instead, you'll spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before end users are affected. You'll also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while minimizing manual interventions. The right candidate excels in AI-driven environments, values automation-first approaches, and is eager to advance cloud infrastructure design.
You'll become part of a global team of innovators reshaping cloud infrastructure. Your contributions will be central to our mission of delivering next-generation, AI-driven operational excellence. We're looking for someone passionate about AI who is prepared to create a meaningful impact on the future of cloud services. If this describes you, we invite you to apply and join a transformative initiative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and resolve operational issues before they affect systems
- Overseeing CI/CD pipelines enhanced with 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 to enable AI to perform these functions
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 aligned with clients' changing requirements
Candidate requirements
- AI-First Mindset (if your default approach is to write code first and then apply AI tools for verification or enhancement, rather than leading with AI, please do not apply)
- Minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- Minimum of 2 years of experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Proficiency in AI and machine learning tools for monitoring, automation, and predictive analytics (or demonstrated willingness to learn and adapt to AI-driven technologies)
- Strong programming and scripting abilities, with experience automating tasks and building 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.
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