Software Development Graduate, AWS, 2026 Sydney

Amazon is hiring a Software Development Graduate, AWS, 2026 Sydney (Australia). Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a junior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Amazon is looking for passionate Graduate Software Development Engineers (SDEs) to join our team ASAP.

Amazon/ AWS offers a unique, inclusive work environment where you’ll be able to work on the A to Z of problems, at scale, for real customers. You’ll join a team solving challenging problems with innovative software solutions, building global software at scale every day and having a ton of fun while you do it.

We are a group of engineers that values diversity and collaboration to help each other succeed as a team. Bring your experiences, perspectives and skills to help build a great shopping experience for customers all around the world. We're looking for developers with a passion for solving challenging problems, learning on the go and working with teammates to have a global impact.

Key job responsibilities
You will own the development of software end to end, from working with stakeholders on requirements through to owning the ongoing operations of the software that you build at scale. You will work with a great, global team to tackle new challenges. You will have the opportunity to experiment and learn from your successes and your failures.

Apply today to join our incredible team building software for our customers around the world. Have fun and build great software!

Basic qualifications

- You must be in the final semester/ trimester of a university undergraduate or postgraduate degree , or have completed your university studies within the past 24 months of applying (June 2024 - Jun 2026)
- Able to commence a role from Mar to June 2026.
- Enrolled/Completed a degree in Computer Science, Computer Engineering, Information Technology or relevant tertiary institution
- Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform) Knowledge of Perl or other scripting languages
- Experience with distributed systems, algorithms, and relational databases
- Experience in optimization mathematics (linear programming, nonlinear optimization)

Preferred qualifications

- Experience developing in a Linux environment
- Experience developing software on Amazon Web Services (AWS) platforms
- Ability to effectively articulate technical challenges and solutions
- Deal well with ambiguous/undefined problems; ability to think abstractly

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Software Development Graduate, AWS, 2026 Sydney at Amazon rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.