About Chegg We put students first. Our mission is to help every student achieve their best, in school and beyond. We strive to improve the overall return on investment in education by helping students learn more in less time and at a lower cost. Chegg is a publicly-held company based in California, USA and trades on the NYSE under the symbol CHGG. As Chegg evolves into an AI-native company, we are investing heavily in purpose-built products that leverage cutting edge artificial intelligence to personalise learning journey via AI Coach and help students achieve their learning objectives.

Role Summary

This is not your typical internship. At Chegg you will work with a modern, cutting-edge tech stack from Spring Boot and React to Node, Kafka, AWS, and LLMs using AI-powered development tools like Claude as part of your everyday workflow. You will build features that ship to production and reach millions of students worldwide. You will be surrounded by some of the brightest engineering minds in the industry, people who will challenge your thinking, accelerate your growth, and help you become a stronger engineer. You will find the opportunity to work on a diversified tech stack whatever team you are part of. If you are looking for an internship where you write real code, solve real problems, and make a real impact at a company whose mission is to help every student succeed, THIS IS IT.

What You'll Do

Feature Delivery & Ownership: Contribute to end-to-end feature development, from system design discussions through production delivery. Collaborate with cross-functional teams to break down requirements into clean, shippable increments. Participate in sprint ceremonies, code reviews, and technical discussions to build engineering judgment.
Engineering: Work across the stack building user interfaces in React.js / Next.js, extending backend microservices in Java / Spring Boot, Python, or Node.js, or writing SQL queries, ETL pipelines, and data transformations. Leverage AWS services alongside the team to build and maintain reliable, cloud-native infrastructure. Build dashboards, surface insights from large-scale data, and collaborate with analytics partners to deliver data products. Write unit, integration, and end-to-end tests; develop a strong testing mindset from day one. Learn observability practices like structured logging, distributed tracing, and metrics dashboards.

What We're Looking For

Required Qualifications: Currently in final year of or completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field. Solid foundation in at least one general-purpose programming language (Python, Java, Node etc.). Understanding of fundamental data structures, algorithms, and software design principles. Familiarity with version control (Git) and collaborative development workflows. Eagerness to learn new technologies quickly and work across unfamiliar stacks. Strong communication skills and a collaborative, feedback-driven mindset. Comfortable using AI-assisted development tools (such as Claude) and able to leverage them to speed up development.
Nice to Have: Hands-on experience with any tech stack including Node, Java, Python, etc. Familiarity with SQL and relational databases (PostgreSQL, MySQL). Exposure to cloud platforms (AWS, GCP, or Azure) or containerisation tools (Docker, Kubernetes). Experience with event-driven systems or streaming platforms (Kafka, RabbitMQ). Contributions to open-source projects or a strong personal portfolio / GitHub. Prior internship or work experience in a software development role.

What We Offer

Competitive intern compensation and mentorship from senior engineers with 1:1 coaching.
Meaningful project ownership, your code ships to production and reaches millions of students.
Opportunity to quickly adapt and work across multiple tech stacks, leveraging AI tools to accelerate your development.
A supportive, inclusive culture that values curiosity, growth, and impact.