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 At Crusoe, our Production Engineering team ensures the reliability and scalability of Crusoe’s AI-optimized cloud platform. We’re looking for a Senior Production Engineer with a strong background in distributed systems and cloud services to help us build and deliver a seamless Cloud experience 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. What You'll Be Working On - Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads - Define, measure, and improve SLIs/SLOs across 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 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 environments What You'll Bring to the Team - Strong software engineering background — experience building production-grade systems beyond scripting or Bash - Demonstrated experience in distributed systems design and implementation - 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 Benefits - Industry competitive pay - Restricted Stock Units in a fast growing, well-funded technology company - Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents - Employer contributions to HSA accounts - Paid Parental Leave - Paid life insurance, short-term and long-term disability - Teladoc - 401(k) with a 100% match up to 4% of salary - Generous paid time off and holiday schedule - Cell phone reimbursement - Tuition reimbursement - Subscription to the Calm app - MetLife Legal - Company paid commuter benefit; $300 per month Compensation Compensation will be paid in the range of $170,000 to $205,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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.

Requirements

Must-haves

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.
What You'll Be Working On
Design and operate reliable managed AI services with a focus on serving and scaling LLM workloads
Define, measure, and improve SLIs/SLOs across 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 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 environments
What You'll Bring to the Team
Strong software engineering background — experience building production-grade systems beyond scripting or Bash
Demonstrated experience in distributed systems design and implementation
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmpythongojavakubernetes

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave