Site Reliability Engineer (AI)

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