Drimva

Salesforce

Software Engineering AMTS (College Grad)

$110K–$163K

California - San Francisco +6 · Office Tech-Flexible · Full-time · Posted Oct 5, 2026

Location
California - San Francisco
California - Palo Alto
New York - New York
Washington - Seattle
Washington - Bellevue
Texas - Dallas
Indiana - Indianapolis
Experience
Academic, professional, or internship coding experience; no specific number of years stated.
Education
Strong background in Computer Science or a related engineering discipline; no degree requirement stated.

About the job

Designs, builds, tests, and delivers scalable Salesforce cloud products and features while helping maintain platform stability and quality.

What you'll do

  • Architect, design, implement, test, and deliver scalable products and customer-facing features.
  • Develop test strategies, automation frameworks, and automated unit and functional test suites.
  • Collaborate with engineering, product, UX, and performance teams; learn and improve development processes and code.

What they ask for

  • Strong background in Computer Science or a related engineering discipline.
  • Must be located in North America.
  • Academic, professional, or internship experience coding in a professional setting.
  • Fluency in object-oriented programming/design and experience with at least one of Java, Python, Javascript, HTML, SQL, or C++.

Nice to have

  • Experience reviewing code and artifacts generated by LLM coding assistants or agentic tools, and guiding AI tools toward desired outcomes.
  • Experience with Copilot, Cursor, Claude Code, Gemini, other agent-based frameworks, or telemetry and metrics for operational excellence.

Pay

USD $110,000 - $153,000 annually (base salary); USD $141,000 - $163,000 annually (base salary)

Tools

Java, Python, Javascript, HTML, SQL, C++, Copilot, Cursor

AI focus

May use and critically review LLM-generated code and artifacts, guide AI coding tools, and work with agent-based frameworks. Salesforce also uses AI tools to assist recruiters in assessing applications; humans make selection and hiring decisions.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)