Senior Production Engineer, Managed Cloud
Crusoe · San Francisco, California
- Location
- San Francisco, California, USA
- Employment
- Full time
- Level
- Senior
- Posted
- 7 weeks ago
About this role
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.
As published by Crusoe. Applications are handled on their site.
Skills this posting mentions
About Crusoe
Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the “gold standard” for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.
All 371 openings at CrusoeOne click, then it is written
Apply to Crusoe with a resume written for this role.
Queue Senior Production Engineer, Managed Cloud and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Crusoe’s form for you.
01Drop your resume
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03Each one is written up
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
500 free credits on sign-up. No card. Nothing is sent until you say so.
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