DevOps Specialist $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 are well known for struggling with manual monitoring, reactive troubleshooting, and deployment processes that consume significant labor. AI offers a clear path forward, yet most organizations fail to harness its full capabilities, leading to underperforming systems and bottlenecks that constrain innovation. Research indicates that 73% of organizations experience deployment delays and operational downtime, largely because of outdated workflows and insufficient AI-driven automation.
IgniteTech is addressing these challenges directly by developing cloud solutions that are AI-first by design, built to anticipate and prevent issues before they occur. Our approach integrates AI and machine learning throughout cloud infrastructure management—spanning automated monitoring systems to intelligent CI/CD pipelines. The result is an environment that self-heals and continuously adapts, minimizing downtime, enhancing performance, and expanding the possibilities of cloud services.
This is not a conventional site reliability position where you react to incidents and manually step in when failures happen. In this role, you will spearhead the development of AI-enhanced monitoring systems capable of detecting and resolving 95% of issues before end users are affected. You will also design and oversee AI-automated CI/CD pipelines that cut deployment times by 30% while dramatically reducing manual intervention. The right candidate excels in an AI-driven setting, is energized by automation-first strategies, and is eager to advance the frontiers of cloud infrastructure design.
You will be part of 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 someone who is passionate about AI and prepared to create a meaningful impact on the future of cloud services. If this resonates with you, we invite you to apply and join something transformative.
What you will be doing
- Deploying AI-based monitoring services that automatically detect, predict, and resolve operational issues before they affect performance
- Overseeing CI/CD pipelines enhanced by AI-driven automation to boost 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 handle these tasks for you
Key responsibilities
- Deliver seamless scalability and optimize 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 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)
- 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
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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