About Coursera
Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 197 million registered learners as of December 31, 2025.
Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning.
Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp
Why Join Us
At Coursera, we’re looking for inventors, innovators, and lifelong learners ready to shape the future of education. You’ll help build global programs and tools that power online learning for millions turning bold ideas into real impact. People who thrive here are customer-first builders who move fast, simplify ruthlessly, and iterate relentlessly on the metrics that matter.
We’re a globally distributed team and let you choose the best way you work, whether it's from home, a Coursera hub, or a co-working space near you. Our virtual hiring and onboarding make it easy to join us and start making an impact from anywhere. If you’re ready to make a global impact, scale unique products exclusive to Coursera, and expand your career horizons, apply below.
Job Overview:
We’re looking for a Staff Software Developer, Fullstack to help build the next generation of Coursera’s content tools—the systems instructors and partners use to create, review, and improve learning experiences. You’ll work across the frontend and backend to build workflows that support content creation and maintenance, incorporate AI-assisted suggestions, surface quality signals, and help educators publish updates with confidence.
In this role, you’ll architect and implement user-facing and internal product surfaces, shape the APIs and data flows behind multi-step review processes, and influence how Coursera integrates AI into the content lifecycle in a thoughtful, human-centered way. If you enjoy owning complex end-to-end features, working at the intersection of product and platform, and building tools that support real human decision-making in an AI era, you’ll thrive here.
Responsibilities:
- Build and own full-stack features used by instructors and creators to design, review, revise, and publish learning content.
- Develop and evolve backend services and APIs that power multi-step workflows, versioning, content review logic, and data-rich decision surfaces.
- Create clear, responsive interfaces in React/TypeScript that help users understand suggested changes, preview updates, and navigate complex flows.
- Integrate with internal AI and evaluation systems so that suggestions, quality checks, and signals are surfaced in a safe, human-in-the-loop way.
- Improve the reliability, performance, and cohesion of existing content tools as we modernize and unify the broader authoring and review experience.
- Contribute to architectural decisions and establish strong patterns for full-stack development across content tooling systems.
- Mentor engineers, guide implementation approaches, and collaborate with product, design, data, and other engineering teams to bring clarity to ambiguous problems and ship high-quality systems.
Qualifications:
- 6+ years of professional software engineering experience building web applications
- Solid experience across both frontend and backend (for example: React/TypeScript on the front end and Java/Scala/Python or similar on the back end)
- Has designed, built, and owned end‑to‑end features or systems in production
- Comfortable designing and working with APIs, data models, and service‑to‑service communication
- Familiar with relational and/or NoSQL datastores (e.g., MySQL, DynamoDB) and modern engineering practices (code review, testing, CI/CD)
- Experience working in a cloud environment like AWS or GCP
Nice to haves:
- Familiarity with AI‑assisted development or integrating ML/LLM‑powered features
- Experience building tools, dashboards, or workflows used by non‑engineering users (e.g., creators, operators, or internal teams)
- Experience working in a microservices ecosystem (e.g., Java + Kafka + MySQL/DynamoDB, GraphQL or gRPC)
- Balances long-term design thinking with quick execution on urgent goals
- Communicates clearly and enjoys working closely with Product, Design, and other partners on shaping the work
- Has mentored other engineers or played a tech‑lead role on a project
Keep Learning
If this opportunity interests you, you might like these courses on Coursera:
- Generative AI for Software Development
- Building Scalable Java Microservices with Spring Boot and Spring Cloud
- Full-Stack Java Dev with Spring & Spring Boot Specialization
- Object Oriented Java Programming: Data Structures and Beyond Specialization
- Object Oriented Programming in Java Specialization
- Functional Programming in Scala Specialization
- Front-End Web Development with React
Compensation:
Coursera offers competitive pay and equitable compensation practices. Our job titles may span more than one career level. The targeted hiring base salary range for this role is between CAD $164,000-$205,000 for all Canada candidates. The actual base pay is dependent upon many factors, including but not limited to prior work experiences, training/education, transferable skills, business needs, and geographical location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for variable pay, equity, and benefits.
Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [email protected]. Learn more in our CCPA Applicant Notice and GDPR Recruitment Notice.
To protect against recruitment fraud, please note that Coursera recruiters will only communicate with candidates using official coursera.org email addresses. We do not conduct interviews or negotiate offers via personal or non-coursera.org accounts.
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