5 months ago
Base Salary
$250k - $300k/yr
Responsibilities
- Design and drive automation for large-scale on-premises server and data center bring-up.
- Investigate and resolve distributed-systems performance and reliability issues involving sharding, concurrency, replication, load balancing, and fault isolation.
- Build prototypes to evaluate new AI platforms, managed vector databases, managed relational databases, and other platform capabilities.
- Develop customer-facing platform features and tooling based on AI-native training and inference workloads.
- Investigate platform architecture changes and migrations across managed and internal Kubernetes, public cloud, and on-premises environments.
- Drive cross-functional initiatives involving managed services, Kubernetes, storage, networking, and air-gapped customer solutions.
- Build AI-powered tools, frameworks, and internal and customer-facing MCP servers.
- Mentor senior engineers and improve engineering practices and team effectiveness.
Requirements
- 10+ years of professional software development experience with significant time at staff level or above.
- Hands-on expertise designing and operating distributed systems at scale, including sharding, replication, consensus, load balancing, and concurrency.
- Proficiency in Go or another modern compiled language, with Go strongly preferred.
- Experience with cloud-native infrastructure and on-premises infrastructure.
- Experience benchmarking, profiling, and improving system performance and operational reliability.
- Customer-facing on-call experience and a track record of eliminating incident causes.
- Ability to rapidly build high-fidelity prototypes across different technologies.
- Ability to work across ambiguous product spaces and translate requirements into scoped, buildable increments.
- Proven ability to influence technical outcomes across organizational boundaries without formal authority.
- Exemplary written and verbal communication skills.
- Experience using AI tools for development, research, and decision-making, preferably including building AI-powered tooling.
Benefits
- Competitive compensation and equity packages, including Restricted Stock Units.
- Paid time off, paid holidays, and leave of absence programs.
- Comprehensive health, dental, and vision insurance.
- Employer HSA contributions.
- Paid parental leave.
- Paid life insurance and short- and long-term disability coverage.
- Professional development support and tuition reimbursement.
- Mental health and wellness support.
- Commuter benefits, including parking and transit.
- Cell phone stipend.
- 401(k) plan with company match up to 4% of salary.
- Volunteer time off.
- Global travel insurance and emergency assistance.
- Daily meals allowance and additional location-specific perks and programs.
Tech Stack
About Crusoe
Crusoe builds and operates GPU-powered data centers and an AI cloud platform for enterprises running large-scale AI training and inference. It vertically integrates energy supply with compute, using stranded and renewable power to reduce emissions and costs, and sells capacity via cloud services and managed infrastructure. Founded in 2018 and headquartered in Denver, the company is privately held.