Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

About the Role:

We are looking for a highly skilled engineer with deep expertise in building and operating observability platforms at scale. 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. Your work will ensure reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform.

What You’ll Be Working On:

• 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
  
  
  

What You’ll Bring to the Team:

• 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
  
  
  

Bonus Points:

• Contributions to open source observability projects (Prometheus, OpenTelemetry, Grafana, Loki, etc.)
• Experience supporting AI/ML or GPU-heavy environments with high observability demands
• Knowledge of event-driven or streaming systems (Kafka, NATS, Pulsar) used in telemetry pipelines
• Experience implementing cost optimization strategies for large-scale observability platforms
• Background in incident response, chaos engineering, and reliability practices
  
  
  

Benefits:

• 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:

Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.