Salesforce
Distributed Systems Software Engineer, GovCloud - Senior/Lead
$148K–$286K
California - San Francisco +3 · Office - Flexible · Senior · Full-time · Posted Oct 26, 2026
- Location
- California - San Francisco
Colorado - Denver
Virginia - Herndon
Washington - Bellevue - Experience
- 5+ years backend software development experience.
- Education
- A related technical degree required.
- Visa sponsorship
- Must be a U.S. Citizen operating on U.S. Soil and able to meet customer and government screening standards, including a Criminal Justice Information Services screening with fingerprint scan. Citizenship is verified using two specified REAL ID Act documents.
About the job
Build and operate secure, resilient distributed systems and cloud infrastructure for Salesforce GovCloud, using AI-supported engineering practices.
What you'll do
- Design, develop, debug, and operate distributed systems across thousands of compute nodes; improve availability, resilience, and performance.
- Deliver cloud infrastructure automation and validation tools, develop Infrastructure-as-Code and microservices, and contribute to open-source technology.
- Use AI tools and prompt engineering in software development; review code and participate in on-call operations.
What they ask for
- Related technical degree.
- 5+ years backend software development experience.
- Deep programming knowledge in Java, Golang, Python, or Ruby.
- Experience owning and operating multiple instances of a critical service; Agile and Test Driven Development; and critical infrastructure services such as monitoring, alerting, logging, and reporting applications.
Nice to have
- Experience with distributed database systems and relational databases like postgres.
Pay
USD $148,500 - $260,100 annually (base salary); USD $178,900 - $285,800 annually (base salary)
Tools
Java, Golang, Python, Ruby, Terraform, Kubernetes, Docker, Spinnaker
AI focus
Use AI tools as a core part of development, design systems integrating AI agents into human workflows, maintain shared system context, evaluate AI-generated code, and apply advanced prompt engineering to produce reliable, secure outputs.
Model-written summary · the original posting is authoritative