Senior Site Reliability Engineer

• Proactive and self-driven; identifies problems, risks, and opportunities for improvement independently
• Engaged owner mindset; treats system stability as end-to-end responsibility
• Hands-on engineer; regularly works with clusters, pipelines, monitoring, and code
• AI-native; uses AI tools extensively daily (Copilot, LLMs, automation, analytics, debugging, documentation) and understands AI impact on system design and maintenance
• Comfortable working in a dynamic environment with immature processes
• Experience with Azure DevOps (Boards, Repos, Pipelines)
• Strong knowledge of Kubernetes, including troubleshooting, scaling, and production operations
• Proficiency in Datadog (metrics, logs, dashboards, alerting)
• Experience with Azure Portal for environment operations and configuration
• Strong knowledge of CI/CD practices, including pipeline optimization, testing, and quality gates
• 5+ years of experience as an SRE / Production / Platform Engineer
• Proven experience in production environments
• Strong knowledge of incident management and root cause analysis (RCA)
• Ability to build practical monitoring systems
• Very good command of English, both spoken and written

Nice to have:

• Experience with Grafana
• Experience with AI/LLM pipelines and their observability
• Building multi-app monitoring platforms
• Working in scaled Kubernetes environments (AKS or similar)

• Building and maintaining a central operational "control tower" for AI applications and pipelines
• Designing and implementing monitoring, alerts, and dashboards (signals, thresholds, routing, runbooks)
• Incident response: triage, coordination, root cause analysis, post-mortems, and preventive measures
• Standardization of pipeline telemetry (success/failure, latency, throughput, bottlenecks)
• CI/CD optimization – release quality, automated testing, reliability gates
• Collaboration with engineering teams to reduce the number of recurring incidents