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Observability Platform Engineer — Neocloud

Mirantis


Job Location:

Prague - Czech Republic

Monthly Salary: Not provided by the employer
Posted: 22 August 2026 (10 hours ago)
Application Deadline: 19 November 2026
Vacancies: 1 Vacancy

Job Summary

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. Were 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. Youll 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 matures

  • 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


Qualifications :

  • Proven experience designing and building observability platforms for large-scale production infrastructure environments (not just consuming an existing setup actually building one)

  • Strong hands-on experience with metrics logging and distributed tracing tooling (e.g. Prometheus Grafana OpenTelemetry Loki Thanos/Cortex/Mimir Elasticsearch/OpenSearch Jaeger/Tempo or equivalents)

  • Experience with high-volume telemetry pipelines and the tradeoffs involved (cardinality retention cost query latency)

  • Strong software engineering skills in at least one language commonly used in this space (e.g. Go Python Rust)

  • Experience with Kubernetes and cloud-native infrastructure

  • Solid understanding of SLO/SLI/error-budget practices and alerting design that minimizes noise

  • Comfortable working in a fast-moving environment where the platform is being built out alongside the infrastructure its monitoring

  • Strong communication skills able to work directly with operations/service delivery teams to understand real incident-response needs not just technical specs

Preferred Skills & Experience

  • Experience building observability for GPU/HPC infrastructure or other specialized high-performance compute environments

  • Experience with eBPF-based observability tooling

  • Familiarity with AIOps/ML-based anomaly detection or automated triage systems

  • Experience operating in a managed services or MSP context where observability directly drives customer-facing SLAs

  • Contributions to open-source observability projects


Additional Information :

What does Mirantis offer you

- Work with an established Silicon Valley leader in the cloud infrastructure industry;
- Work with exceptionally passionate talented and engaging colleagues helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
- Be a part of cutting-edge open-source innovation;
- Thrive in the high-energy environment of a young company where openness collaboration risk-taking and continuous growth are valued;
- Professional development and training;
- Attend conferences and working groups;
- Company outings happy hours hackathons and tech talks;
- Receive a competitive compensation package with a strong benefits plan.


It is understood that Mirantis Inc. may use automated decision-making technology (ADMT) for specific employment-related decisions. Opting out of ADMT use is requested for decisions about evaluation and review connected with the specific employment decision for the position applied for. You also have the right to appeal any decisions made by ADMT by sending your request to 

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We are a Leader for Container Management in G2 (#2 after AWS)!

We are a Leader for Container Management in G2 (#2 after AWS)!


Remote Work :

Yes


Employment Type :

Full-time


About Company

Mirantis is an open cloud company that helps organizations achieve digital self determination by giving them complete control over their strategic infrastructure. The company combines intelligent automation and cloud-native expertise for managing and operating virtual machines, contai ... View more

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