GovCloud Distributed Systems Software Engineer

Salesforce; San Francisco (CA); On-site; USD 178,000 - 246,000; Full time

Job summary

Salesforce is seeking a backend software engineer to join our Public Cloud engineering team. You will design, develop, and operate large-scale distributed systems and AI-enabled back-end services across global data centers.

You will work with Java, Golang, Python, or Ruby, and apply Agile and TDD practices to deliver reliable, scalable software. Deep experience with cloud platforms and infrastructure tooling is required.

Qualifications

• Related technical degree required.
• 5+ years backend software development experience.
• Strong knowledge of Java, Go, Python, or Ruby.
• Experience owning and operating multiple instances of a critical service.
• Experience with Agile development and Test Driven Development.
• Experience with monitoring, alerting, logging, and reporting applications.
• Experience with distributed databases such as Postgres.
• AI-first approach to engineering; using AI to move faster and contribute beyond core specialty.
• Experience using AI tools (Claude, GitHub Copilot, Codex, Cursor) in development workflows.
• Advanced prompt engineering skills and ability to craft precise prompts and system context.

Responsibilities

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms.
• Design, develop, debug, and operate resilient distributed systems across data centers.
• Build and ship production-grade software with AI as a core part of development workflow.
• Develop Infrastructure-as-Code using Terraform.
• Write microservices on Kubernetes, Docker, Mesos.
• Design and orchestrate AI-agent integrations into human workflows.
• Contribute to building and maintaining the shared system context and standards.
• Critically evaluate code for correctness, quality, security, and performance.
• Participate in on-call rotation to keep services operational.

Skills

Backend development

Java

Go

Python

Ruby

Distributed systems

Prompt engineering

AI-first engineering

Education

Related technical degree

Tools

Kubernetes

Docker

Terraform

Spinnaker

Zookeeper

OpenAI API

Cursor

Claude

Codex

GitHub Copilot

Job 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.

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.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job‑related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including:

• time off programs
• medical
• dental
• vision
• mental health support
• paid parental leave
• life and disability insurance
• 401(k)
• employee stock purchasing program

More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

The typical base salary range for this position is $148,500 - $223,900 annually.

In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.