Software Development Engineer II, Digital Acceleration
Amazon is hiring a Software Development Engineer II, Digital Acceleration in Bellevue, United States. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- The posting mentions Java, AWS and software development among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Design and launch AI-native commerce features and standardizations in Java on AWS for digital product lines.
As a Software Development Engineer on this team, you will design and launch AI-native features that digital product lines can adopt out of the box, without custom integration work. You will write production-ready Java code on AWS, collaborate with Technical Program Managers and Product Managers, and contribute across the full software development lifecycle. If you are a curious engineer who wants to help build the standardized commerce layer behind some of Amazon's most recognized products, we want to hear from you.
Key job responsibilities
- Design, implement, test, and deploy AI-native feature standardizations in Java on AWS that digital clients across Amazon can adopt with zero custom integration.
- Integrate AI models and AI knowledge bases into commerce workflows, staying current with new technologies to improve productivity and code quality.
- Write logical, well-organized, and maintainable code using optimal data structures and algorithms, making thoughtful trade-offs between performance and readability.
- Collaborate with Technical Program Managers, Product Managers, and peer engineers on scoping, code reviews, and operational support to ship high-quality software.
- Troubleshoot production issues, identify root causes, and contribute to improving system reliability across the ordering platform.
A day in the life
Your day starts with a team standup where you align on priorities with your Manager, Technical Program Manager, and fellow engineers. From there you dive into coding, building features, writing tests, and refining your implementations based on code review feedback. You might pair with a teammate to debug a tricky ordering flow or prototype a new AI-driven capability that dozens of digital product lines will use. You also participate in operational reviews, learning how your services perform at scale and spotting opportunities to make them better.
About the team
Amazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.
Basic qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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 Engineer II, Digital Acceleration at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where ai native features was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Walk me through how you've used Java in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Development, AI Native Features, Machine learning, Distributed Systems, and Java. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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