Role overview

Site Reliability Engineer (AI)

Requirements and responsibilities

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Details

  • 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
  • Minimum5+ years of experiencein SRE, Platform, or Production Engineering
  • Strong hands on experience withKubernetesand production environments
  • Experience withAzure and Azure DevOps
  • Experience with monitoring tools such asDatadog
  • Strong understanding ofincident management and root cause analysis
  • Ability to build practical monitoring and alerting systems
  • Experience withAI or LLM pipelines
  • Experience building monitoring platforms across multiple systems
  • Experience withGrafana
  • Experience working in large scale or distributed environments
  • 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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Browse stack
FocusSite Reliability EngineeringRole area
Seniority signalSeniorCandidate level
StackAzure, CI/CD, LLMPrimary skills
Location1 accepted countryEligibility

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