GovCloud Distributed Systems Software Engineer

Salesforce

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Bellevue, WADenver, COHerndon, VASan Francisco, CA
Salary
$172,500–$260,100 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today
Closes
Feb 1, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $187k
This role $216k
$130k most similar roles pay here $274k

This role pays more than 72% of similar roles. Most pay $152,656–$222,000 — the shaded band above. At the midpoint, this role pays about $216k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 163 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 119 roles with salary data.

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At a glance

TL;DR · GovCloud Distributed Systems Software Engineer

As a GovCloud Distributed Systems Software Engineer, you will join the Public Cloud engineering team to innovate and maintain a large-scale distributed systems engineering platform. You will design, develop, and operate resilient distributed systems across thousands of compute nodes while building cloud infrastructure automation tools, frameworks, and validation platforms on AWS, GCP, Azure, or Alibaba. Your daily work involves writing microservices using Kubernetes, Docker, or Mesos, managing Infrastructure-as-Code with Terraform, and contributing to open-source technologies like Spinnaker and Zookeeper. You will utilize an AI-first approach, employing advanced prompt engineering and tools like Cursor, Windsurf, Claude, and the OpenAI API to produce high-quality code. The role focuses on solving complex data management challenges and ensuring high availability for government customers by managing critical infrastructure services including monitoring, alerting, logging, and reporting systems.

What you'll do

  • Design, develop, and operate resilient distributed systems across thousands of compute nodes in multiple data centers.
  • Build and ship production-grade software using AI tools like Cursor, Windsurf, and Claude to optimize code quality.
  • Develop infrastructure-as-code (IaC) using Terraform for public cloud platforms including AWS, GCP, and Azure.
  • Write microservices on containerization frameworks such as Kubernetes, Docker, and Mesos.
  • Create and maintain shared system context to ensure AI agents operate accurately and reliably within workflows.
  • Perform advanced prompt engineering to create structured prompts that produce secure and production-ready AI outputs.
  • Critically evaluate both human and AI-generated code for correctness, security, and performance.
  • Participate in an on-call rotation to resolve complex technical issues and maintain high service availability.

What we're looking for

  • Must be a U.S. Citizen capable of passing criminal justice and government screening standards.
  • A related technical degree is required.
  • 5+ years of backend software development experience is required.
  • Deep knowledge of programming in Java, Golang, Python, or Ruby is required.
  • Advanced prompt engineering skills to create reliable, secure, and production-ready AI outputs are required.
  • Experience with distributed database systems and relational databases like Postgres (preferred).
  • A demonstrated, genuine AI-first approach to engineering using tools like Claude Code, GitHub Copilot, or Cursor is required.
  • Experience with critical infrastructure services including monitoring, alerting, logging, and reporting applications is required.

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