Observability Platform Engineer (Neocloud)

About the role

Mirantis is expanding its Neocloud service, which manages large‑scale infrastructure for demanding AI and data workloads. The Observability Platform Engineer will design and operate the monitoring, logging, tracing, and alerting stack that enables rapid incident detection and resolution across a globally distributed environment.

Key responsibilities

• Design, build, and run observability components (metrics, logs, distributed tracing, alerts) for high‑scale infrastructure.
• Create telemetry pipelines that handle high‑cardinality, high‑volume data while optimizing cost, retention, and query performance.
• Define SLO/SLI frameworks and alerting strategies that reduce noise and surface actionable signals.
• Collaborate with service delivery and operations teams to deliver incident‑focused dashboards and views.
• Integrate observability tools with incident‑management workflows, supporting root‑cause analysis and post‑incident reviews.
• Continuously improve detection speed, lowering mean‑time‑to‑detect (MTTD) and mean‑time‑to‑resolve (MTTR).
• Contribute to AI‑assisted operations tooling road‑maps, such as automated triage and anomaly detection.
• Own the reliability, scalability, and security of the observability stack.

Required profile

• Proven experience building and operating observability platforms at scale.
• Strong understanding of telemetry data pipelines, high‑cardinality metrics, and log management.
• Ability to translate operational needs into concrete monitoring and alerting solutions.
• Experience working with incident‑response processes and SLO/SLI implementation.

Required skills

• Observability platform engineering
• Telemetry pipeline design
• SLO/SLI framework implementation
• Incident management workflow integration