Distributed Systems Software Engineer, GovCloud - Senior​/Lead

Distributed Systems Software Engineer – Gov Cloud (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.

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. Citizenship will be verified through two of the following REAL  documents: U.S. Passport, Passport Card, REAL Driver’s License, Global Entry Card, U.S. Government CAC/PIV.

• 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 driving 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.

• 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 systems 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, Git Hub 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.

Check out our benefits site  which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Typical base salary range for this position is $148,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range is $178,900 - $285,800.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. All employment decisions are fair and based on merit, with no regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, veteran status, or disability. We consider qualified applicants with arrest and conviction records for positions in accordance with the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring.