Senior Backend Software Engineer

Salesforce•San Francisco, CA

4d•$148,500 - $246,000•Hybrid

About The Position

Salesforce is seeking experienced software developers to build breakthrough features that customers will love, adopt, and use, while keeping the trusted CRM platform stable and scalable. The role encompasses architecture, design, implementation, and testing, with a strong emphasis on advanced prompt engineering for AI outputs. Salesforce prides itself on writing high-quality, maintainable code and embraces a hybrid work model, fostering autonomous teams and individual growth. The company is a leader in workforce transformation in the agentic era, with a focus on AI and customer success.

Requirements

A related technical degree required
5+ years backend software development experience
Deep knowledge of object oriented programming languages: Java, C++, Go, C#, Ruby, Scala, Python, Node.JS, or JavaScript
Broad knowledge of web standards relating to APIs such as REST, SOAP, XML, WSDL, HTTP, JSON, etc.
Experience with Spring, gRPC, REST and the HTTP protocol
Experience with Agile development methodology
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.

Responsibilities

Backend application development for Marketing/Commerce/Sales/Big Data/Service/Einstein/MuleSoft/Platform/Industries Clouds/Slack and Heroku
Design, implement, and tune robust APIs and API framework related features that perform and scale in a multi-tenant environment.
Experience handling large data sets in the cloud (e.g. GCP, AWS, Alibaba and/or Azure platforms)
Integration with internal/external systems
Test driven development practices as well as CI/CD tools and its usage
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.
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
For Big Data roles: Working with Phoenix, HBase, MapReduce, Yarn, Kafka, Spark, Hive, Presto, or equivalent large-scale distributed systems technologies on a modern containerized deployment stack
Participate in the team’s on-call rotation to address complex problems in real-time and keep services operational and highly available