Software Engineer Internships

About the Role

As a full stack Software Development Engineer Intern, you will help design, build, and maintain software across the entire application stack, from user-facing interfaces to APIs, data stores, and cloud infrastructure. You will write well-tested, maintainable code, participate actively in code review, and use AI coding assistants to accelerate delivery while critically evaluating AI-generated output for correctness and security. Strong collaboration with product managers, designers, and peer engineers is essential to create resilient, scalable solutions.

What You Do

• Full Software Development Lifecycle:
• Build features end-to-end—from design through deployment—building front-end (React/Angular/Vue) and back-end (REST/GraphQL, microservices) solutions.
• System Design & Architecture:
• Contribute to scalable system design: evaluate architectural trade-offs, define data models and API contracts, and choose the right cloud-native and persistence strategies for your project.
• Code Quality Testing and Review:
• Write comprehensive tests, uphold coding standards, and review code—including AI-generated code—for security, performance, and maintainability.
• Develop, maintain, and execute automated test suites to validate software functionality, and catch defects early.
• CI/CD, DevOps & Operational Readiness:
• Maintain CI/CD pipelines and infrastructure-as-code, monitor systems in production, and participate in incident response, including AI-integrated components.
• Cross Functional Collaboration & Technical Communication:
• Partner with product managers, designers, and platform teams to scope and deliver features, writing clear specs and communicating trade-offs to technical and non-technical audiences.

Qualifications

• Minimum Qualifications:

• Currently pursuing a Master’s degree in Computer Science, or related field; with a graduation date no earlier than May 2028.

• Must be available to work full-time hours, for a 12-week period, either May – August or June – September in 2027.

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.

• Full-stack development skills: Hands-on experience through coursework, research, projects, or internships with front-end frameworks (React/Angular/Vue), back-end languages (Node.js, Python, Java, Go), databases, REST/GraphQL APIs, and cloud platforms (AWS/Azure/GCP), plus comfort adopting emerging AI/ML tools.

• Preferred Qualifications:

• Systems thinking: Understanding of trade-offs between consistency, availability, and performance, and working knowledge of distributed system patterns and API/database design.

• Working knowledge of software engineering fundamentals: Prior experience writing clean, secure, well-tested code and examples of treating code review as a quality practice.

• AI fluency: Effectively incorporates AI coding assistants (Copilot, Cursor, Codeium, etc.) and LLM APIs (OpenAI, Anthropic, open-weight models) to build features, and applies sound judgment when reviewing AI-generated code for correctness and security.

• Technical communication: Demonstrated ability to translate ambiguous requirements into clear technical plans and communicate trade-offs to technical and non-technical stakeholders alike.