Staff Software Engineer, Distributed Data Services – Scale & Reliability

James from Montana; San Francisco (CA); Hybrid; USD 238,000 - 345,000; Full time

Job summary

Salesforce's Slack team is seeking a Staff Software Engineer for Distributed Data Services in San Francisco with a hybrid office model. You will design, build, and operate large-scale distributed systems and edge caches to keep Slack fast and reliable for our largest customers.

You should have 10+ years building production systems, deep distributed-systems knowledge, and strong testing/debugging fundamentals. Bonus: Go, AWS, Docker, Kubernetes, and FEDRAMP/NIST experience.

Qualifications

• 10+ years building and operating large-scale systems
• Hands-on experience managing production infrastructure for reliability and uptime
• Strong fundamentals in unit testing, code review, debugging, and design documentation
• Experience untangling complex issues in existing architectures
• Bonus: Go programming language exposure, FEDRAMP/NIST familiarity

Responsibilities

• Build and operate Slack's edge caches and data services at scale
• Advance Enterprise Key Management and Data Residency features
• Ensure low latency, high availability, and reliability for enterprise customers
• Collaborate across teams to balance engineering vs product trade-offs

Skills

Distributed systems

Reliability engineering

Code review

Debugging

Testing

Go

Tools

Docker

Kubernetes

AWS

Job description

Salesforce's Slack team is seeking a Staff Software Engineer for Distributed Data Services in San Francisco with a hybrid office model. You will design, build, and operate large-scale distributed systems and edge caches to keep Slack fast and reliable for our largest customers.

You should have 10+ years building production systems, deep distributed-systems knowledge, and strong testing/debugging fundamentals. Bonus: Go, AWS, Docker, Kubernetes, and FEDRAMP/NIST experience.