Backend Software Development Engineer - Mid/Senior/Lead/Principal

The Experience Salesforce has opportunities for experienced software developers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering — the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready. We pride ourselves on writing high quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while cultivating everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower the individuals, the product, the company, and the customers they serve to thrive. What You’ll Actually Be Doing 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 You're Our Person If... 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, JSON, etc. Experience with Spring, gRPC, REST and the 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. Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available Office-Flex: work in-person three days per week; or 10 days per quarter for some engineering teams. #J-18808-Ljbffr Leadout Capital