Software Engineer — New Graduate, Full-Stack

Overview of the Role

Want your line of code to have a significant and measurable positive impact for users, the company’s bottom line, and industry? Join Salesforce and define the future of cloud computing. We deliver a scalable, high performance cloud computing platform that delights our customers, and is used by millions of people around the world each day for their business. You will be working with a group of world-class engineers to build breakthrough features that our customers will love, adopt and use while keeping our trusted 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.

We are looking for the best and brightest university graduates to join our Marketing Intelegence engineering team of world-class, highly motivated software engineers and cloud computing experts. You will have a chance to be mentored and network with senior engineers and leaders across Salesforce Marketing Cloud.

Responsibilities

Design, implement, and deliver highly scalable data pipelines and analytics systems that power marketing intelligence

Master our development process, culture and code base, then improve it

Work closely with a team of engineers, product managers, user experience experts and performance engineers to build new features our customers will love, adopt and use while keeping our trusted platform stable and scalable

Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics

Analyze, design and develop test cases and implement automated test suites

Required Qualifications

BS or MS in Computer Science or related technical field, graduating in 2025 or 2026 and able to work Full Time!

Hands-on experience or strong curiosity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) and an eagerness to integrate them into real-world engineering workflows.

A budding AI-first mindset - comfortable experimenting with prompting techniques and leveraging AI to learn across the stack, ramp up quickly, and contribute meaningfully from day one.

Strong understanding of object-oriented programming/design, algorithms, and data structures and how to efficiently implement them into a solution

Academic, professional or internship experience in one of Java, Python, Javascript, HTML, SQL or C++

Strong analytical and problem-solving skills

Preferred Qualifications

Experience using and critically reviewing code and artifacts generated by large language model (LLM) coding assistants and agentic tools
Ability to to effectively guide AI tools to achieve desired outcomes
Experience using Copilot, Cursor, Claude Code, Gemini or other agent-based frameworks
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