---
title: 'Staff Software Engineer, Cloud Monitoring Service (Distributed Systems) at Crusoe'
canonical: 'https://feeny.ai/job/staff-software-engineer-cloud-monitoring-service-distributed-systems-crusoe-san-t4h7pxmfd7g5'
type: 'job'
last_seen: '2026-11-06'
---

# Staff Software Engineer, Cloud Monitoring Service (Distributed Systems) at Crusoe

- **Company:** [Crusoe](https://feeny.ai/companies/crusoe)
- **Location:** San Francisco, CA / United States
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/crusoe/8542fd03-9a05-4c2b-800e-3106ed14af6f

## Job description

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 seeking a Staff Software Engineer to lead distributed systems design and development within Crusoe Cloud's Cloud Monitoring Service. This team builds the observability backbone of Crusoe Cloud: the telemetry systems that collect, process, store, and serve the metrics and logs our customers depend on to run AI workloads at scale. You will own the design and evolution of high-throughput, multi-tenant data systems, from collection at the edge through ingestion, storage, and query. This is a full-time position.

What You'll Be Working On:

- 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 the hard problems in this space: 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 rather than more process, and participate in a customer-facing on-call rotation, leading by example.
- 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 make sure 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 your direct involvement.

What You'll Bring to the Team:

- Distributed Systems Depth: Deep, hands-on experience designing and operating distributed systems at scale. You have solved real problems in sharding, replication, consistency, load balancing, and concurrency, not just studied them.
- 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 technologies like 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 for everything you build.
- Design Judgment at Staff Level: You proactively scope ambiguous problems, surface non-functional requirements without being prompted, and reason about tradeoffs in terms of customer and business outcomes, not just technical elegance.
- Operational Mindset: On-call experience on a customer-facing service. You treat incidents as design feedback and systematically eliminate the conditions that cause them.
- Cross-Functional Influence: A track record of driving technical outcomes that span team boundaries, and the communication skills to bring product, support, and adjacent engineering teams along.
- Mentorship: You make the engineers around you better through design guidance, thoughtful review, and honest, constructive feedback.
- Professional Experience: 8+ years of software development experience, with sustained ownership of production distributed systems.

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

## Compensation Range

Compensation will be paid in the range of up to $215,000 -$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, 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.

## About Crusoe

## Company Overview
- **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads.
- **Entity Type**: Private (Series E)
- **Headquarters**: Denver, Colorado, USA
- **Founded**: 2018
- **Founders**: Chase Lochmiller and Cully Cavness

## Core Business
- Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy
- Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B)
- **Mission**: "Accelerate the abundance of energy and intelligence."

## Products & Services
- **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%.
- **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management.
- **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads.
- **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers.
- **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company).
- **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M).
- **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers.
- **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office.

## Competitive Advantages
- **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy.
- **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform.
- **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure.
- **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction).

## Strategic Focus
- **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe.
- **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure.
- **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report.
- **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack.

## Why Work Here
- **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey).
- **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader.
- **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact.
- **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel).
- **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks.
- **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process.

## Sources
1. [crusoe.ai](https://www.crusoe.ai/)
2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers)
3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture)
4. [crusoe.ai/about/company](https://www.crusoe.ai/about/company)

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