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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.
Job Responsibility:
Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environments
Architecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualization
Extending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetry
Building scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacks
Implementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIs
Defining and driving adoption of SLOs, SLIs, and error budgets across services and teams
Automating 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 controls
Mentoring engineers and shaping Crusoe’s observability strategy and technical roadmap
Requirements:
6+ years of experience with distributed systems, with a focus on observability and monitoring systems
Deep 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 integrations
Experience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environments
Proven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput data
Solid understanding of distributed systems, performance engineering, and debugging complex workloads
Familiarity 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 practices
What we offer:
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability