Senior Software Engineer, Crusoe Energy Systems

• Strong experience building and operating distributed systems, especially streaming or real-time data platforms
• Hands-on experience with Kafka or similar distributed streaming technologies
• Proficiency in backend languages such as Java, Scala, Go, or Python
• Experience operating services in cloud or large-scale infrastructure environments
• Solid understanding of observability fundamentals including metrics, logging, tracing, and alerting
• Comfort debugging production issues across distributed systems
• Ability to own features end-to-end, from design through production operations
• Strong collaboration skills and a pragmatic engineering mindset

Desirable

• We’re looking for a Senior Streaming Software Engineer to join the Observability team within our Cloud Infrastructure organization. This team builds and operates the real-time data platforms that power metrics, logs, traces, and event streams used by engineers across the company to understand and operate Crusoe’s AI cloud reliably at scale
• In this role, you’ll design, build, and operate high-throughput streaming systems that process massive volumes of telemetry data generated across our GPU cloud and global data centers. Your work will help ensure engineers have real-time visibility into complex distributed systems and the infrastructure that powers them
• This is an opportunity to work on large-scale data pipelines and distributed systems that power observability across a rapidly scaling AI cloud environment
• Designing, building, and maintaining streaming services and pipelines that ingest and process observability data including logs, metrics, traces, and operational events
• Implementing real-time data processing systems using technologies such as Kafka, Kinesis, Pub/Sub, Flink, or similar streaming platforms
• Scaling streaming infrastructure to support high-throughput telemetry ingestion, high-cardinality workloads, and bursty infrastructure traffic patterns
• Ensuring streaming systems are reliable and observable, with strong instrumentation, dashboards, and alerting
• Collaborating with SREs and platform teams to integrate streaming data into internal observability tools and operational workflows
• Participating in on-call rotations, incident response, and post-incident reviews
• Improving system reliability and developer experience through automation, CI/CD, and infrastructure-as-code practices
• Contributing to technical design discussions and reviews for new streaming capabilities