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
Not accepting applications on crossover.com at this time.
Description
Traditional site reliability teams are often hampered by manual monitoring, reactive troubleshooting, and deployment processes that consume significant time and resources. While AI offers a clear path forward, most organizations fail to harness its full capabilities, leading to underperforming systems and innovation-blocking bottlenecks. Research indicates that 73% of organizations face deployment delays and operational downtime, largely attributable to legacy processes and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing AI-first cloud infrastructure designed to predict and prevent issues before they occur. Our approach embeds AI and machine learning throughout cloud infrastructure management—from automated monitoring frameworks to intelligent CI/CD pipelines. The result is infrastructure that self-heals and continuously adapts, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.
This role differs fundamentally from conventional site reliability positions that center 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 are affected. You'll design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% and dramatically reduce the need for manual intervention. The right candidate excels in AI-driven settings, embraces automation-first strategies, and is eager to advance the state of cloud infrastructure design.
Joining IgniteTech means becoming part of a global team reimagining cloud infrastructure. Your contributions will be central to our mission of delivering next-generation, AI-driven operational excellence. We are looking for someone passionate about AI and prepared to shape the future of cloud services. If this resonates with you, we invite you to apply and contribute to something transformative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and remediate issues before they disrupt operations
- 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; the objective is to enable AI to handle these tasks on your behalf
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 use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
- A minimum of 3 years of DevOps experience, including automation of CI/CD pipelines and infrastructure management
- A minimum of 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
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