RemoteFull timeMid level$209k – $253kPosted today
Apply with JobAssistAbout the role
- 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
Benefits
- Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
- Time away: Paid time off for vacations, family bonding, and unexpected needs
- 401(k) match: Build your financial future with our 401(k) matching program
- Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges- Comfort debugging production issues across distributed systems
- Experience building observability platforms at cloud or data center scale
- Solid understanding of observability fundamentals including metrics, logging, tracing, and alerting
- Proficiency in backend languages such as Java, Scala, Go, or Python
- Experience working with bare-metal infrastructure or large-scale data center environments
- Strong collaboration skills and a pragmatic engineering mindset
- Experience operating services in cloud or large-scale infrastructure environments
- Familiarity with stream processing frameworks and delivery semantics
- Ability to own features end-to-end, from design through production operations
- Strong experience building and operating distributed systems, especially streaming or real-time data platforms
- Exposure to schema management, data contracts, or serialization formats
- Hands-on experience with Kafka or similar distributed streaming technologies
- Experience with Kubernetes and containerized infrastructure
- Interest in mentoring junior engineers
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