2 months ago
Base Salary
$209k - $253k/yr
Responsibilities
- Design, build, and maintain streaming services and pipelines for logs, metrics, traces, and operational events.
- Implement real-time data processing using streaming platforms such as Kafka, Kinesis, Pub/Sub, or Flink.
- Scale streaming infrastructure for high-throughput telemetry, high-cardinality workloads, and bursty infrastructure traffic.
- Ensure streaming systems are reliable and observable through instrumentation, dashboards, and alerting.
- Collaborate with SREs and platform teams to integrate streaming data into internal observability tools and operational workflows.
- Participate in on-call rotations, incident response, and post-incident reviews.
- Improve system reliability and developer experience through automation, CI/CD, and infrastructure-as-code practices.
- Contribute to technical design discussions and reviews for new streaming capabilities.
Requirements
- 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 metrics, logging, tracing, and alerting.
- Ability to debug production issues across distributed systems and own features from design through production operations.
- Strong collaboration skills and a pragmatic engineering mindset.
- Bonus: experience building observability platforms at cloud or data center scale; familiarity with stream processing frameworks and delivery semantics; Kubernetes and containerized infrastructure experience; exposure to schema management, data contracts, or serialization formats; bare-metal or large-scale data center experience; and interest in mentoring junior engineers.
Benefits
- Industry-competitive pay and restricted stock units.
- Health, vision, dental, HDHP, PPO, HSA contributions, paid parental leave, life insurance, short- and long-term disability, and Teladoc.
- 401(k) with a 100% match up to 4% of salary.
- Generous paid time off and holidays, cell phone reimbursement, tuition reimbursement, Calm app subscription, MetLife Legal, and a company-paid commuter benefit of $300 per month.
Tech Stack
Categories
BackendData Engineering
About Crusoe
As the AI factory company, Crusoe is on a mission to accelerate the abundance of energy and intelligence. The company provides a reliable, scalable, cost-effective, and energy-first solution for AI infrastructure. By harnessing large-scale energy resources, building AI-optimized data centers, and delivering an AI cloud platform, Crusoe empowers its customers to build the future faster.