Senior+ Software Engineer - Cloud Availability Platform Engineering (Observability)

• 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
• Partnering with engineering teams to embed observability into applications, services, and infrastructure
• Mentoring engineers and shaping Crusoe’s observability strategy and technical roadmap

Your work will ensure reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform, enabling engineers to understand the internal state of distributed systems through metrics, logs, and traces.

• 7+ years of experience in infrastructure or platform engineering, 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
• Strong collaboration skills and the ability to influence engineering teams to adopt observability best practices

• Industry competitive pay
• 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
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $300 per month

Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers.

Crusoe's mission is to accelerate the abundance of energy and intelligence. They are crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.