Distributed Systems Software Engineer, Public Cloud

Salesforce

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CABellevue, WANew York, NY
Salary: $117,200–$313,700 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $215k

$94k $337k

below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $169,550–$214,812 — the blue band above. At the midpoint, this role pays about $215k versus about $192k 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 221 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 125 roles with salary data.

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At a glance

TL;DR · Distributed Systems Software Engineer, Public Cloud

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The Distributed Systems Software Engineer - Public Cloud (Mid/Senior/Lead/Principal) joins 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, delivering cloud infrastructure automation tools, frameworks, and workflows. Key responsibilities include building microservices, managing infrastructure-as-code, and orchestrating complex systems where AI agents integrate into human workflows. You will utilize Java, GoLang, Python, or Ruby alongside tools like Terraform, Kubernetes, Docker, Spinnaker, and Zookeeper. The role requires advanced prompt engineering and an AI-first approach to solve real-world data management challenges. You will ensure high availability and security for production-grade software while managing live-site operations and technical debt within a multi-data center environment.

Skills

Java GoLang Python Ruby AWS GCP Azure Kubernetes Docker Terraform Mesos Spinnaker Zookeeper Agile Prompt Engineering OpenAI API GitHub Copilot Cursor Claude Code

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 modern engineering practices and AI-driven development tools.
Develop Infrastructure-as-Code using Terraform and write microservices on containerization frameworks like Kubernetes and Docker.
Create cloud infrastructure automation tools, frameworks, and validation platforms on public cloud providers.
Write precise, structured prompts and cultivate system context to ensure reliable and secure AI outputs.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows.
Critically evaluate 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

A related technical degree is required.
3+ years of backend software development experience is required.
Deep knowledge of programming in Java, GoLang, Python, or Ruby is required.
Experience owning and operating multiple instances of a critical service is required.
Experience using AI tools in development workflows and a demonstrated AI-first approach to engineering are required.
Advanced prompt engineering skills to write precise, structured prompts and cultivate system context are required.
Experience with Agile development methodology and Test Driven Development is required.
Experience with critical infrastructure services including monitoring, alerting, logging, and reporting applications is required.
Experience with distributed database systems and relational databases like Postgres is a plus (preferred).