Observability Platform Engineer, Neocloud

Stack

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
• ▹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)
• ▹Contribute to the roadmap for AI-assisted operations tooling (e.g. automated triage, anomaly detection)
• ▹Own the reliability, scalability and security of the observability stack itself
• ▹Document architecture, runbooks and operational practices

Requirements

• ▹Proven experience designing and building observability platforms for large-scale, production infrastructure environments
• ▹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 trade-offs 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 minimises noise
• ▹Comfortable working in a fast-moving environment where the platform is built alongside the infrastructure it monitors
• ▹Strong communication skills for working directly with operations and service delivery teams

Nice to have

• ▹Experience building observability for GPU/HPC infrastructure or other specialised, high-performance compute environments
• ▹Experience with eBPF-based observability tooling
• ▹Familiarity with AIOps/ML-based anomaly detection or automated triage systems
• ▹Experience in a managed services (MSP) context, where observability directly drives customer-facing SLAs
• ▹Contributions to open-source observability projects

Soft skills

What we offer

• ▹Competitive compensation package with a strong benefits plan
• ▹Salary range of 75,000-95,000 EUR per year
• ▹Professional development and training
• ▹Attending conferences and working groups
• ▹Company outings, hackathons and tech talks
• ▹Open-source innovation

About the company

Mirantis is a Kubernetes-native AI infrastructure company that helps organisations build scalable, secure and sovereign infrastructure for AI, machine learning and data-intensive applications. Its customers include enterprises such as Adobe, DocuSign, PayPal and Volkswagen.