Software Engineering AMTS (College Grad)
Salesforce
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- SalesforceCRMProduct managementPythonJavaJavaScript
- Work
- On-site in San Francisco
- Pay
- Not stated by the employer.
- Skill demand
- Python75%Product management14%CRM3%Salesforce2%of 59 similar entry-level jobs posted in the US this week
- Listed
- Nov 11, 2026 · still open
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About the Role
Salesforce is the #1 AI CRM. This role is for college graduates who are passionate about bettering business and the world through AI, driving innovation, and upholding Salesforce's core values. This role is for candidates who can start immediately in Q4 and Q1 (November 2026 – April 2027).
The Experience
Work with a group of world-class engineers to build breakthrough features for a scalable, high-performance cloud computing platform used by millions daily. The software engineer role encompasses architecture, design, implementation, and testing to ensure high-quality product releases.
What You'll Actually Be Doing
- Architect, design, implement, test, and deliver highly scalable products.
- Master and improve the development process, culture, and code base.
- Work closely with engineers, product managers, user experience experts, and performance engineers to build new features while maintaining platform stability and scalability.
- Develop test strategies, design automation frameworks, and write unit/functional tests to improve code coverage and automation metrics.
- Analyze, design, and develop test cases and implement automated test suites.
Requirements & Tech Stack
- Strong background in Computer Science or a related engineering discipline.
- Must be located in North America.
- Academic, professional, or internship experience working in a professional coding setting.
- Fluency in object-oriented programming/design.
- Academic, professional, or internship experience in one of Java, Python, Javascript, HTML, SQL, or C++.
Even Better If...
- Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools.
- Ability to effectively guide AI tools to achieve desired outcomes.
- Experience using Copilot, Cursor, Claude Code, Gemini, or other agent-based frameworks.
- Strong analytical and problem-solving skills.
- Team-player with the ability to work effectively and efficiently with others.
- Be a self-starter and possess strong sense of self-motivation.
- Experience using telemetry and metrics to drive operational excellence.