Site Reliability Engineer (AI)

Posted 2026-05-06
Remote, USA Full-time Immediate Start




This is a remote position.

We are looking for a Senior Site Reliability Engineer to support advanced AI platforms responsible for production-grade applications and pipelines. The role focuses on building and maintaining reliability, scalability, and operational excellence across multiple AI-driven systems.

The engineer will work on a central operational layer for monitoring and managing AI workloads, improving system stability, and reducing incidents. This is a hands-on role requiring direct involvement in diagnosing production issues, implementing fixes, and optimising monitoring, alerting, and CI/CD processes.

The position requires close collaboration with engineering teams to improve release quality, standardise telemetry, and ensure stable and predictable system behaviour in a distributed cloud environment.



Responsibilities







• Build and maintain central monitoring and alerting layer for AI applications and pipelines



• Define and implement SLIs, alerts, and operational dashboards



• Manage incidents including triage, coordination, root cause analysis, and prevention



• Standardise telemetry across systems including latency, throughput, and failures



• Optimise CI CD pipelines and introduce quality gates for reliability



• Work closely with engineering teams to reduce recurring issues and improve stability














Requirements




• Minimum 5+ years of experience in SRE, Platform, or Production Engineering



• Strong hands on experience with Kubernetes and production environments



• Experience with Azure and Azure DevOps



• Experience with monitoring tools such as Datadog



• Strong understanding of incident management and root cause analysis



• Ability to build practical monitoring and alerting systems





Nice to have







• Experience with AI or LLM pipelines



• Experience building monitoring platforms across multiple systems



• Experience with Grafana



• Experience working in large scale or distributed environments





Expectations







• Strong ownership mindset and accountability for system stability



• Proactive approach to identifying risks and improvements



• Hands on engineer actively working with systems, not only coordinating



• Comfortable working in dynamic and evolving environments







Benefits



• Solid, competitive salary



• Work in a multinational environment on international projects



• Comprehensive healthcare



• Long-term B2B contract with a stable project pipeline



• Work model: fully remote








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