Amazon SDE Intern Sydney 2026 | Dec 2026 - Feb 2027
| Company | Amazon (Amazon Support Services Pty Ltd) — Job ID A3204846 |
| Role | 2026 Software Dev Engineer (SDE) Intern |
| Location | Sydney, NSW, Australia — in office Mon–Fri, up to 38 hrs/week (8am–5pm typical) |
| Dates | December 2026 – February 2027 (must be available for the full period) |
| Eligibility | Penultimate-year Bachelor’s or higher (graduating after Feb 2027); 18+; STEM fields (CS, CE, Data Science, IS, related) |
| Languages | Java, Python, C++, C#, Go, Rust, or TypeScript (at least one) |
| Mentorship | Matched to a manager + mentor; own a real project end-to-end |
Overview
Amazon SDE interns solve problems that influence millions of customers, sellers, and products globally — with development cycles measured in weeks, not years. You’ll own the entire lifecycle of your code: design, deployment, and operations.
This Sydney internship runs December 2026 to February 2027 (Australian summer). You’ll design scalable cloud-native solutions and microservices in a large distributed environment, use and contribute to GenAI-powered dev tools, work agile with CI/CD (including on-call exposure), and get a manager + mentor pairing with intern community activities throughout.
Key Requirements
- Eligibility: 18+; currently in penultimate year of a Bachelor’s or higher (graduating after Feb 2027); at least one quarter/semester remaining after the internship; enrolled in CS/CE/Data Science/IS or related STEM.
- Availability: Full-time in office, Mon–Fri, up to 38 hrs/week for the entire Dec 2026 – Feb 2027 period; no class or job conflicts during Amazon workday.
- Required skills: One general-purpose language (Java, Python, C++, C#, Go, Rust, TypeScript); data structures, algorithms, or OO design experience.
- Preferred: Prior internships/projects; AI dev-productivity tools; AWS/cloud; SQL + NoSQL; open source; version control; debugging complex systems; strong communication; SDLC basics.
- Day-to-day: Design/build/operate scalable services; code reviews and docs; resilient fault-tolerant distributed systems; monitoring and production troubleshooting.
