Sr/Staff Software Engineer, Observability (Network Engineering)

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:We are looking for a highly skilled engineer with deep expertise in building and operating observability platforms at scale.As a Senior/Staff Software Engineer, Observability, you'll be supporting our team of Network Engineers (no network engineering experience required). The Crusoe Cloud Network Engineering Team is responsible for designing, building, and operating the global edge, backbone, and data center network for High Performance Compute (HPC) Clusters with GPUs.This is a unique opportunity wherein you'll be building an observability platform specific to devices; one that is language agnostic and scalable. You will design, develop, and run Crusoe’s next-generation observability stack, enabling engineers to understand the internal state of distributed systems through metrics, logs, and traces.A Day in the Life:Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environmentsArchitecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualizationExtending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetryBuilding scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacksImplementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIsDefining and driving adoption of SLOs, SLIs, and error budgets across services and teamsAutomating provisioning and scaling of observability infrastructure with Kubernetes, Terraform, and custom tooling (Go, Python)Ensuring reliability and cost efficiency of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure)Embedding security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controlsMentoring engineers and shaping Crusoe’s observability strategy and technical roadmapYou Will Thrive In This Role If:6+ years of experience with distributed systems, with a focus on observability and monitoring systemsDeep expertise with metrics systems (Prometheus, Thanos, Mimir, Cortex), logging pipelines (Fluent Bit, Vector, Loki, ELK/Opensearch), and tracing platforms (Jaeger, Tempo, OpenTelemetry)Strong programming skills in Go or Python for automation, operators, and custom integrationsExperience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environmentsProven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput dataSolid understanding of distributed systems, performance engineering, and debugging complex workloadsFamiliarity with service meshes, networking, and workload instrumentation (Envoy, Istio, OpenTelemetry SDKs)Strong collaboration skills and the ability to influence engineering teams to adopt observability best practicesBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation Range:Compe ... (truncated, view full listing at source)