Staff Site Reliability Engineer, Crusoe Energy Systems
Managed AI
$204-247k
Offers RSUs and Bonus
Renewable-powered AI infrastructure
Job no longer available
Renewable-powered AI infrastructure
501-1000 employees
Job no longer available
$204-247k
Offers RSUs and Bonus
501-1000 employees
Company mission
To accelerate the abundance of energy and intelligence.
Role
Who you are
- Strong software engineering background — experience building production-grade systems beyond scripting or Bash
- Demonstrated experience in distributed systems design and implementation
- Hands-on work with large language models (LLMs) or AI/ML infrastructure
- SRE mindset and experience (whether or not under the SRE title) including:
- Defining and measuring SLIs/SLOs
- Building monitoring and observability systems
- Driving performance and reliability improvements
- Designing fault-tolerant systems and automated testing strategies
- Proficiency in at least one modern programming language (Python, Go, Java, C++)
- Familiarity with Kubernetes or container orchestration platforms
- Strong collaboration and communication skills
- Ability to thrive in a fast-paced, mission-driven environment
Desirable
- Experience scaling inference or training workloads for LLMs
What the job involves
- Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure
- At Crusoe, our Site Reliability Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform
- We’re looking for an SRE with a strong background in distributed systems and hands-on experience with large language models to help us build and operate managed AI services at scale
- This role is central to delivering highly available, performant, and cost-efficient AI infrastructure that powers compute-intensive, latency-sensitive workloads for our customers
- Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads
- Build automation and reliability tooling to support distributed AI pipelines and inference services
- Define, measure, and improve SLIs/SLOs across AI workloads to ensure performance and reliability targets are met
- Collaborate with AI, platform, and infrastructure teams to optimize large-scale training and inference clusters
- Automate observability by building telemetry and performance tuning strategies for latency-sensitive AI services
- Investigate and resolve reliability issues in distributed AI systems using telemetry, logs, and profiling
- Contribute to the architecture of next-generation distributed systems purpose-built for AI-first environmen
Our take
Crusoe is tackling one of the biggest challenges facing the digital age: the enormous energy demand of data centres and AI infrastructure. As AI models grow more powerful, they require immense computing power (and therefor electricity) to train and operate. This surge in energy use has put some pressure on power grids, driven up costs, and raised environmental concerns. Crusoe is on a mission to make this process more sustainable by finding smarter, cleaner, and more efficient ways to power the data centres that drive modern computing.
The company started out by putting wasted energy to work. Originally known as Crusoe Energy, it captured natural gas that would otherwise be burned off ("flared") at remote oil sites and used it to power modular data centres. Today, Crusoe has evolved into a major player in AI infrastructure, designing and operating large-scale data centres near renewable or stranded energy sources. It's now one of a handful of "neocloud" companies (next-generation cloud providers focused on flexible, efficient computing for AI workloads). And its facilities are helping tech giants like OpenAI handle the massive computing requirements of training advanced AI models.
Recently, Crusoe has attracted some huge investor attention, tripling its valuation to over $10B and raising $1.4B in its latest funding round. It's building OpenAI's first major US data centre campus and even experimenting with bold new frontiers. In partnership with Starcloud, Crusoe plans to deploy the world's first space-based cloud computing infrastructure, powered by solar energy and orbiting the Earth by 2027. If successful, this could redefine how and where computing happens, opening up a cleaner, virtually limitless source of energy for AI's next generation.
Steph
Company Specialist at Welcome to the Jungle
Insights
31% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Oct 2025
$1.4bn
SERIES E
Dec 2024
$600m
SERIES D
Total funding: $2.5bn
Company 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
Company HQ
LoDo, Denver, CO
Leadership
Cully Cavness
(Co-Founder, COO & President)Began their career as an Energy Infrastructure Research Fellow before spending 3 years as a Business Development Manager at Recurrent Engineering and serving as CFO of Sword & Plough. They left their role as VP of Highlands Natural Resources to co-found Crusoe Energy Systems.
Chase Lochmiller
(Co-Founder & CEO)Prior to co-founding Crusoe in 2018, Chase was a General Partner at Polychain Capital, a Quantitative Trade at Jump Trading Group, and a Managing Director of Algorithmic Trading at KCG Holdings.
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