
Software Engineering - Principal
San Francisco, CAJobPosted 1 day agoStill listed today
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At a glance
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Job overview
Salesforce seeks experienced software developers to build features for its CRM platform while maintaining stability and scalability. The role spans architecture, design, implementation, and testing, with an emphasis on backend development, robust APIs, integrations, and large-scale cloud data. Engineers use AI tools and prompt engineering in development workflows, evaluate code for quality and security, and help design systems that integrate AI agents into human workflows.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description 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
- 10+ 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.
- Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
How this job compares
Set against the 8,580 open Software Engineering jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This postingNot listed
- California median$189–275K/yr1,283 salary ranges
- California median$43–52/hr124 hourly ranges
- Openings
- Olive Jobs lists 1,750 open Software Engineering jobs in California and 8,580 across the US. 10% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 10 years of experience; Software Engineering postings that state a minimum ask for 7 years at the median (6,596 postings).
- Education
- 2,271 of the 8,580 open Software Engineering jobs (26%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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