Observability Platform Engineer — Neocloud

Mirantis; Barcelona; Presencial; EUR 85.000 - 110.000; Jornada completa

Descripción de la vacante

Mirantis is expanding its Neocloud service offering and seeks an Observability Platform Engineer to design, build, and operate our monitoring, logging, tracing, and alerting stack for large-scale, globally distributed infrastructure.

You will own telemetry pipelines, define SLO/SLI frameworks, and collaborate across service delivery and operations to ensure incidents are detected and resolved rapidly. This hands-on role focuses on building visibility and reliability.

Formación

• Design and build observability platform components: metrics, logging, tracing, and alerting for large-scale infra.
• Define telemetry pipelines with high cardinality and volume while managing cost, retention, and query performance.
• Implement SLO/SLI frameworks and alerting strategies to surface signal to on-call engineers.
• Collaborate with service delivery and operations to build visibility for incidents.
• Document architecture, runbooks, and operational practices for long-term maintainability.

Responsabilidades

• Design, build, and operate observability platform components for large-scale infrastructure environments.
• Build telemetry pipelines handling high cardinality/volume data across fleets with performance considerations.
• Define and implement SLO/SLI and alerting strategies to reduce noise and surface signal.
• Integrate observability tooling with incident management workflows and RCA support.
• Improve detection speed and MTTR across the platform.
• Own reliability, scalability, and security of the observability stack.
• Document architecture and operational practices for maintainability.

Descripción del empleo

About the Role

Mirantis is building out our Neocloud service offering — managing large-scale infrastructure to a high SLA for customers running demanding compute workloads. As that offering scales, so does the volume and complexity of telemetry we need to collect, correlate, and act on. We're looking for an Observability Platform Engineer to design and build the monitoring, logging, tracing, and alerting platform that our operations teams depend on to detect and resolve incidents fast — at large scale, across a globally distributed environment. This is a hands-on, build-it role. You'll be the person who turns "we have no visibility into this" into a platform that surfaces the right signal at the right time, and turns "we found out from the customer" into "we caught it before they noticed."

Key Responsibilities

• Design, build, and operate observability platform components — metrics, logging, distributed tracing, and alerting — for large-scale infrastructure environments
• Build telemetry pipelines capable of handling high cardinality, high volume data from large fleets of infrastructure, with an eye on cost, retention, and query performance
• Define and implement SLO/SLI frameworks and alerting strategies that reduce noise and surface real signal to on-call engineers
• Partner closely with service delivery and operations teams to understand what they need to see during an incident, and build for that — not just for dashboards nobody opens
• Integrate observability tooling with incident management workflows, including root-cause analysis support and post-incident review data
• Continuously improve detection speed and reduce mean-time-to-detect (MTTD) and mean-time-to-resolve (MTTR) across the platform
• Contribute to the roadmap for AI-assisted operations tooling (e.g., automated triage, anomaly detection, engineer-assist tooling) as it m rovide…? Actually continues— ...
• Own the reliability, scalability, and security of the observability stack itself — it needs to be up when everything else is on fire
• Document architecture, runbooks, and operational practices so the platform is maintainable beyond you

What Success Looks Like

• Operations teams can diagnose incidents faster because the right data is surfaced automatically, not hunted for manually
• Alert volume is high-signal, low-noise — engineers trust what fires
• The observability platform scales cleanly as infrastructure footprint grows, without cost or performance surprises
• Reduced MTTD/MTTR trends, tracked and demonstrable over time
• A platform other engineers actually want to build on, not work around