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 fall behind due to manual monitoring, reactive troubleshooting, and deployment processes that require intensive manual effort. AI offers a clear path forward, yet many organizations underutilize this technology, leading to suboptimal system performance and innovation bottlenecks. Research indicates that 73% of organizations face deployment delays and operational downtime, largely driven by legacy processes and insufficient AI-powered automation.
IgniteTech is directly addressing these challenges by developing cloud solutions that place AI at the forefront, designed to predict 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. The result is infrastructure that self-heals and adapts continuously, minimizing downtime, boosting performance, and expanding the capabilities of cloud services.
This role differs from conventional site reliability positions that center on problem reaction and manual intervention. Instead, you will spearhead the development of AI-enhanced monitoring platforms capable of identifying and resolving 95% of issues before users are affected. You will also design and oversee CI/CD pipelines automated by AI, cutting deployment times by 30% and dramatically reducing the need for manual input. The right candidate is energized by AI-driven environments, values automation-first strategies, and is eager to advance the frontiers of cloud infrastructure design.
You will be joining a global team of innovators dedicated to transforming cloud infrastructure. Your contributions will be central to our objective of delivering cutting-edge, AI-powered operational excellence. We are looking for someone passionate about AI who is prepared to shape the future of cloud services. If this describes you, we invite you to apply and contribute to something transformative.
What you will be doing
- Deploying AI-powered monitoring services that automatically identify, forecast, and address issues before operational impact occurs
- Overseeing CI/CD pipelines enhanced with AI-driven automation to improve deployment efficiency and minimize manual effort
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 performance optimization for cloud services powered by AI, maintaining 99.99% uptime while deploying AI-enhanced software upgrades and customizations aligned with clients' changing requirements
Candidate requirements
- AI-First Mindset (if your default approach is to write code initially and then use AI tools for verification or enhancement, rather than leading with AI, please do not apply)
- A minimum of 3 years of DevOps experience, including CI/CD pipeline automation and infrastructure management
- A minimum of 2 years of experience working with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Competence in AI and machine learning tools for monitoring, automation, and predictive analytics (or a strong commitment to learning and adapting to AI-driven technologies)
- Solid programming and scripting capabilities, with a track record of automating tasks and developing 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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