Traditional site reliability teams frequently encounter challenges in keeping up with manual monitoring, reactive troubleshooting, and resource-heavy deployment processes. While AI offers a path forward, many 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 attributed 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 every layer of cloud infrastructure management—from automated monitoring frameworks 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 where you'd spend time reacting to incidents and manually intervening during failures. 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 an AI-driven setting, embraces automation-first methodologies, and is energized by advancing cloud infrastructure design.

Joining this role means becoming part of a global team of innovators who are 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 lasting impact on the future of cloud services. If this describes you, we invite you to apply and participate in something transformative.

What You Will Be Doing

• Deploying AI-based monitoring services that automatically detect, predict, and resolve issues before operational impact occurs
• Overseeing CI/CD pipelines enhanced by AI-driven automation to improve deployment efficiency and minimize manual intervention