Senior+ Software Engineer, Storage at Crusoe

San Francisco, California, United States

Crusoe Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, Industrial & ManufacturingIndustries

Skills

Key technologies and capabilities for this role

Cloud StorageSoftware DevelopmentDesign DocumentationArchitectureDesign ReviewsCode ReviewsImplementationCloud Storage PrimitivesScalable SystemsReliable SystemsPerformance Optimization

Questions & Answers

Common questions about this position

What is the salary for this Senior+ Software Engineer position?

This information is not specified in the job description.

Is this role remote or hybrid, and where is it located?

The position is hybrid.

What skills and experience are required for this role?

Candidates need hands-on experience building and operating large-scale distributed cloud computing infrastructure, preferably redundant and fault-tolerant storage solutions with backups, replication, encryption, and data protection. Strong knowledge of professional software engineering practices across the full development lifecycle, including coding standards, code reviews, source control, builds, testing, and operations is required.

What is the company culture like at Crusoe?

Crusoe fosters an environment of teamwork, continuous learning, and cross-team collaboration through initiatives like tech talks, open source development, and book clubs. The company emphasizes driving meaningful innovation with sustainable technology in AI cloud infrastructure.

What makes a strong candidate for this Staff Software Engineer role?

A strong candidate will have expertise in cloud storage, including building scalable, fault-tolerant systems, combined with technical leadership experience in architecture, design reviews, code reviews, and mentoring engineers.

Crusoe

Utilizes wasted energy for computing power

About Crusoe

Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.

Denver, ColoradoHeadquarters
2018Year Founded
$1,082.2MTotal Funding
SERIES_DCompany Stage
Energy, AI & Machine LearningIndustries
201-500Employees

Benefits

Industry competitive pay
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Paid life insurance, short-term and long-term disability
Parental leave
Stock options in a fast-growing, well-funded technology company
Pet-friendly offices
Teladoc
401(k) with a 4% match
Unlimited time off
Cell phone reimbursement
Tuition reimbursement
Company paid commuter benefit; $100 per month
Calm

Risks

Increased competition in AI infrastructure could threaten Crusoe's market share.
Regulatory scrutiny may arise from Bitcoin mining's environmental concerns.
Rapid expansion into AI infrastructure may lead to operational challenges.

Differentiation

Crusoe converts wasted energy into computing power, reducing environmental impact.
The company offers scalable solutions for AI and high-performance computing needs.
Crusoe's Digital Flare Mitigation technology utilizes natural gas for eco-friendly Bitcoin mining.

Upsides

Crusoe secured $600M in Series D funding, boosting AI infrastructure expansion.
Partnerships with tech firms enhance Crusoe's AI capabilities and market reach.
AI-driven energy optimization can significantly reduce operational costs in data centers.

Land your dream remote job 3x faster with AI