Staff Software Engineer, Crusoe Energy Systems

• 10+ years of experience in infrastructure, platform engineering, or distributed systems, with deep expertise in observability platforms
• Extensive experience building and operating telemetry systems at scale, including:
• Metrics platforms (Prometheus, Thanos, Cortex, Mimir)
• Logging pipelines (Fluent Bit, Vector, Loki, ELK/OpenSearch)
• Tracing systems (Jaeger, Tempo, OpenTelemetry)
• Strong programming skills in Go or Python, with experience building infrastructure tooling, operators, or platform automation
• Experience operating observability platforms in large Kubernetes environments across multi-region or multi-datacenter infrastructure
• Deep understanding of distributed systems, reliability engineering, and performance debugging in complex production environments
• Proven ability to design and scale telemetry pipelines handling high-cardinality and high-throughput data workloads
• Experience driving cross-team technical standards and influencing platform adoption across engineering organizations
• Strong leadership and mentorship capabilities, helping engineers and teams improve observability maturity

Desirable

• We are looking for a Staff Software Engineer to lead the architecture and evolution of Crusoe’s observability platform at scale. In this role, you will define and drive the strategy for how telemetry is collected, processed, and leveraged across Crusoe’s global cloud infrastructure
• You will architect and operate a highly scalable observability platform that powers reliability, performance insights, and operational excellence across Crusoe’s AI-optimized cloud. Your work will enable engineers to deeply understand the behavior of complex distributed systems through metrics, logs, and traces while ensuring the observability platform itself remains reliable, efficient, and scalable
• As a Staff engineer, you will operate as a technical leader across organizations — shaping Crusoe’s observability roadmap, influencing platform architecture, and partnering closely with infrastructure, AI platform, and product teams to embed observability best practices across the company
• Leading the architecture and long-term strategy for Crusoe’s observability platform supporting multi-region, multi-datacenter Kubernetes infrastructure
• Designing and operating large-scale telemetry systems (metrics, logs, traces) capable of supporting high-volume AI/ML, GPU, and distributed workloads
• Architecting end-to-end telemetry pipelines, including ingestion, storage, indexing, querying, and visualization layers
• Driving adoption and evolution of Crusoe’s monitoring ecosystem, including Prometheus, Alertmanager, Thanos/Cortex/Mimir, Grafana, and OpenTelemetry
• Designing highly scalable log ingestion and processing pipelines using technologies such as Fluent Bit, Vector, Loki, or ELK/OpenSearch
• Building and evolving distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) integrated with service meshes, APIs, and networking layers
• Establishing observability standards across the organization, including SLIs, SLOs, error budgets, and instrumentation best practices
• Driving reliability and cost efficiency improvements across telemetry pipelines operating at massive scale
• Automating provisioning and lifecycle management of observability infrastructure using Kubernetes, Terraform, and internal tooling (Go, Python)
• Embedding security and multi-tenancy into the observability platform, including RBAC, TLS, secrets management, and tenant isolation
• Partnering with platform and product engineering teams to integrate observability into services, infrastructure, and development workflows
• Mentoring engineers and providing technical leadership across the Cloud Availability organization
• Influencing platform architecture decisions and shaping the long-term roadmap for observability and reliability at Crusoe