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Salesforce

GovCloud Distributed Systems Software Engineer

  • Office
  • 3-6 years

Salary

Not stated

Similar roles pay $135K - 200K a year · our estimate

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Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the 1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Applications will be accepted until 02/01/2027.

Must be a U.S. Citizen operating on U.S. Soil with ability to meet customer and government screening standards applicable to this role, including a Criminal Justice Information Services screening with fingerprint scan. Due to the citizenship requirement for this role, which supports U.S. federal, state, and/or local government customers, citizenship will be verified through two of the following REAL ID Act documents: U.S. Passport, Passport Card, REAL Driver's License, Global Entry Card, U.S. Government CAC/PIV.

Distributed Systems Software Engineer - GovCloud (Senior/Lead)

Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems. This role requires advanced prompt engineering skills — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Your Impact:

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba

Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools (Cursor, Windsurf, Claude, OpenAI API) to deliver secure, optimized, and high-quality code.

Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)

Developing Infrastructure-as-Code using Terraform

Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos

Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.

Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.

Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance

Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance

Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt

Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available

Required Skills:

A related technical degree required

5+ years backend software development experience

Deep knowledge of programming in Java, Golang, Python, or Ruby

Experience owning and operating multiple instances of a critical service

Experience with Agile development methodology and Test Driven Development

Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications

Experience with distributed database system and relational databases like postgres is a plus.

A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.

Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows

Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Where you’d work

From the office

No visa sponsorship

About the company

Salesforce

  • Industry: SaaS

Offices in Bellevue, United States, Denver, United States, San Francisco, United States, United States

Also hiring in Chicago, United States, Atlanta, United States, Dallas, United States and 32 more places

55 of their 340 open roles are remote

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • Go
  • Java
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Ruby
  • Azure
Type
Full-time
Industry
SaaS
Specialty
Backend
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Development
Specialty
Backend
Experience
5+ years
Tech stack
  • Python
  • Go
  • Java
  • PostgreSQL
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • Ruby
  • Azure

Location

Work model
Office
Region
United States
Offices
  • Bellevue, United States
  • Denver, United States
  • San Francisco, United States
  • United States
Visa sponsorship
Not sponsored

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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