Staff Software Engineer, Cloud Monitoring Service (Distributed Systems)
Crusoe· Cloud Engineering
San Francisco, CA - US$215k - $260kFull-timePosted 3mo ago
About the role
Staff Software Engineer to lead distributed systems design and development within Crusoe Cloud's Cloud Monitoring Service, owning high-throughput, multi-tenant telemetry pipelines from edge collection to ingestion, storage, and query.
Responsibilities
- Distributed Systems Ownership: Own the architecture and evolution of large-scale telemetry pipelines, including high-volume ingestion, stream processing, time-series and log storage, and low-latency query paths. Design systems that stay correct, available, and cost-efficient as data volume grows 10x.
- Scalable, Multi-Tenant Design: Design services that are highly scalable, durable, and fair across tenants. Solve hot shards, high-cardinality data, noisy neighbors, backpressure, retention and compaction at scale, and graceful degradation under load.
- Reliability and Operational Excellence: Build for operability from day one. Improve pipeline reliability and data freshness, reduce on-call burden through better system design, and participate in a customer-facing on-call rotation.
- Technical Leadership: Set the technical direction for the team's distributed systems work. Drive design reviews, identify one-way door decisions early, and raise the bar on how the team scopes, builds, and operates systems.
- Cross-Team Collaboration: Work with product, compute, networking, and platform teams to ensure observability decisions are made with full context. Represent the team's technical position in cross-org conversations.
- Mentorship: Coach senior and mid-level engineers through design work, code review, and incident response. Build patterns and frameworks that make the team better without requiring direct involvement.
Qualifications
- Distributed Systems Depth: Deep, hands-on experience designing and operating distributed systems at scale, with experience in sharding, replication, consistency, load balancing, and concurrency.
- Observability Data Experience: Experience building or operating large-scale data infrastructure such as time-series databases, log aggregation, streaming pipelines, or distributed tracing backends. Familiarity with Prometheus, VictoriaMetrics, Loki, OpenTelemetry, Kafka, Vector, or similar.
- Technical Proficiency: Strong programming fundamentals in Go or another modern compiled language (Go strongly preferred). Comfort with Kubernetes, microservices, and CI/CD as the operating environment.
- Design Judgment at Staff Level: Ability to scope ambiguous problems, surface non-functional requirements, and reason about tradeoffs for customer and business outcomes.
- Operational Mindset: On-call experience on a customer-facing service; treats incidents as design feedback and eliminates root causes.
- Cross-Functional Influence: Track record of driving technical outcomes across team boundaries and communicating with product, support, and adjacent engineering teams.
- Mentorship: Capability to improve peers through design guidance, code reviews, and constructive feedback.
- Professional Experience: 8+ years of software development experience with sustained ownership of production distributed systems.
Skills
Required:Distributed systems design and operationObservability data infrastructureGo programming
Benefits
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location
Last updated Aug 19, 2026. Interested? Apply on the company site.
About Crusoe
The AI factory company | Renewable-powered AI infrastructure
Crusoe provides next-gen AI infrastructure and cloud compute using an energy-first approach. Deploy AI workloads at scale with reliable performance and 24/7 support.
AI infrastructureData centersEdge computingGPU computingRenewable energycloud computeenergy-first approachsetter-30
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