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# Staff Software Engineer, Managed Platform Services

- **Company:** Crusoe's Inc
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $250,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Relational Databases, Distributed Systems, Rapid Prototyping Process, Software Engineering, Load Balancing, Computer Network Operations, Cloud Platform System, Concurrency
- **Published:** August 20, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-staff-software-engineer-managed-platform-services-san-francisco-ca--27aaffad-8f22-4279-b528-842e5e933c2d

## About the Role

* Cross-Functional Influence: Proven ability to drive technical outcomes across org boundaries without formal authority - earning trust through technical credibility, clear thinking, and consistent delivery.
 * Communication: Exemplary. Right level of context, concise, checks for understanding, keeps stakeholders informed without being asked.
 * Professional Experience: 10+ years of software development experience with significant time at staff level or above. Proficiency in Go or a modern compiled language (Go strongly preferred) and cloud-native infrastructure., Administrative Skills, Architectural Services, Artificial Intelligence (AI), Automation, Benchmarking, Cloud Computing, Coaching, Compiled Programming Languages, Concurrency, Construction, Cross-Functional, Customer Relations, Customer Support/Service, Customer/Client Research, Data Partitioning, Database Administration, Distributed Computing, Leadership, Load Balancing, MCP - Microsoft Certified Professional, Machine Tool, Manufacturing, Mentoring, Network Operations Center, On Call, Problem Solving Skills, Prototyping, Psychiatry and Mental Health, Public Cloud, Rapid Prototyping, Relational Databases (RDBMS), Replication and Remote Mirroring, Software Development, Software Engineering, Team Player, Turning Center, Vehicle Driving

## Description

* Product Instincts: Ability to engage in ambiguous product spaces, ask the right questions, and translate fuzzy requirements into scoped, buildable increments tied to business outcomes.


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