Backend Software Development Engineer - Mid/Senior/Lead/Principal
Salesforce.com, Inc.
Bellevue, United States of America
7 days ago
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 314K
Job location
Bellevue, United States of America
Tech stack
Java
JavaScript
API
Agile Methodologies
Artificial Intelligence
C Sharp (Programming Language)
C++
Cursor (Graphical User Interface Elements)
Hypertext Transfer Protocols (HTTP)
JSON
Python
Microsoft Office
Node.js
Object-Oriented Software Development
Software Tools
Ruby
Scala
Simple Object Access Protocol (SOAP)
Web Services Description Language
Web Standards
XML
GitHub Copilot
Prompt Engineering
REST
gRPC
Go
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.
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.
Benefits & conditions
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.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. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is, $117,200 -
About the company
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce., 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
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