Senior Site Reliability Engineer, IgniteTech; Remote

Senior Site Reliability Engineer, Ignite Tech (Remote) - $100,000/year USD

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$50.00/hr - $50.00/hr

Traditional site reliability teams continue to face persistent challenges with manual monitoring, reactive incident response, and time‑consuming deployment processes. AI technology offers a path forward, yet most organizations underutilize it, leading to suboptimal system performance and innovation barriers. Research indicates that 73% of organizations experience deployment delays and operational interruptions, largely attributable to legacy processes and insufficient AI‑driven automation.

Ignite Tech addresses these challenges directly by developing AI‑first cloud infrastructure designed to identify and mitigate issues proactively. We embed AI and machine learning capabilities throughout our cloud infrastructure management stack—from automated observability platforms to intelligent continuous integration and delivery workflows. This methodology produces environments that self‑remediate and adapt continuously, minimizing downtime, enhancing performance, and expanding the capabilities of cloud services.

This position differs from conventional site reliability roles focused on reactive problem‑solving and manual intervention. In this capacity, you’ll spearhead the development of AI‑enhanced observability systems capable of detecting and resolving 95% of incidents before user impact. You’ll design and oversee AI‑automated CI/CD pipelines that decrease deployment duration by 30% while eliminating manual touchpoints. The successful candidate operates effectively in AI‑centric environments, embraces automation‑first methodologies, and demonstrates enthusiasm for advancing cloud infrastructure capabilities.

You’ll collaborate with a global team of technical leaders reshaping cloud infrastructure paradigms. Your contributions will directly support our objective of delivering next‑generation, AI‑powered operational excellence. We seek individuals passionate about AI technology and prepared to influence the trajectory of cloud services. If this describes your professional aspirations, we invite your application to join this transformative initiative.

• Deploying AI‑powered observability services that automatically identify, forecast, and remediate issues before operational impact occurs
• Overseeing CI/CD pipelines enhanced with AI‑driven automation to improve deployment velocity and minimize manual intervention

• Concentrating exclusively on manual monitoring, incident response, and system maintenance; your objective will be enabling AI to perform these functions autonomously

• Deliver seamless scalability and performance optimization for AI‑enabled cloud services, maintaining 99.99% uptime while implementing AI‑enhanced software upgrades and customizations aligned with evolving client requirements

• AI-First Mindset (if your default approach is to write code first and subsequently use AI tools for verification or enhancement, rather than the reverse, please do not apply)
• Minimum 3 years of Dev Ops experience, encompassing automation of CI/CD pipelines and infrastructure management
• Minimum 2 years of hands‑on experience with Amazon Web Services (AWS) or Google Cloud Platform (GCP)
• Competency in AI and machine learning tools applied to monitoring, automation, and predictive analytics (or demonstrated commitment to learning and adopting AI‑driven technologies)
• Advanced programming and scripting capabilities, with proven experience automating tasks and constructing AI‑driven workflows

World‑class talent. 100% global remote. Through our portfolio of leading enterprise software solutions, we ignite business performance for thousands of customers globally. We’re big believers in the remote‑work‑from‑anywhere lifestyle, which creates freedom…