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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Observability Platform Engineer - Neocloud - **Company:** Mirantis, Inc. - **Location:** Campbell, CA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, ARM Architecture, Digital Architecture, Elasticsearch, Python (Programming Language), Open Source Technology, Prometheus, Runbook, Software Engineering, Datadog, Data Logging, Cloud Platform System, Grafana, Mttr, Build Management, Kubernetes, Dynatrace - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/peldfmcztn ## About the Role * 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 it's 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 ## Description 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., * 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 ## Related Videos - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Handling incidents collaboratively is like solving a rubix cube](https://www.wearedevelopers.com/videos/680-handling-incidents-collaboratively-is-like-solving-a-rubix-cube) - [Keycloak case study: Making users happy with service level indicators and observability](https://www.wearedevelopers.com/videos/1599-keycloak-case-study-making-users-happy-with-service-level-indicators-and-observability) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Effortlessly Scale Prometheus With The Telemetry Data Platform – And Keep your Grafana Dashboards, Too!](https://www.wearedevelopers.com/magazine/3-effortlessly-scale-prometheus-with-the-telemetry-data-platform-and-keep-your-grafana-dashboards-too) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)