Principal

Salesforce•Seattle, WA

20d•$141,200 - $344,700•Hybrid

About The Position

Salesforce is seeking experienced software developers for Backend Software Engineer roles at all levels (Mid Level, Senior, Lead, and Principal). The company is focused on AI-driven CRM and is looking for passionate individuals to drive innovation and customer success. This role involves building breakthrough features for their trusted CRM platform, ensuring stability and scalability. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing. A key aspect of the role is advanced prompt engineering for AI outputs, ensuring they are reliable, secure, and production-ready. The company values high-quality, maintainable code and embraces a hybrid work model with autonomous teams. Backend application development will span across various Salesforce clouds including Marketing, Commerce, Sales, Big Data, Service, Einstein, MuleSoft, Platform, Industries, Slack, and Heroku. Responsibilities include designing and tuning robust APIs, handling large data sets in the cloud, integrating systems, and utilizing test-driven development and CI/CD practices. A core part of the development workflow involves using AI tools to deliver secure, optimized, and high-quality code, and designing systems where AI agents integrate seamlessly into human workflows. Candidates will also contribute to building and maintaining shared system context for AI reliability and critically evaluate code (human or AI-generated). For Big Data roles, experience with specific technologies like Phoenix, HBase, MapReduce, Yarn, Kafka, Spark, Hive, Presto, or equivalent distributed systems is required.

Requirements

A related technical degree required
3+ 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