AmazonSoftware Development Engineer, AWS DynamoDB
Amazon is hiring a Software Development Engineer, AWS DynamoDB in Seattle, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this software engineer role is Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions AI agents, distributed databases and test infrastructure among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Build test frameworks and test infrastructure for AWS DynamoDB to support AI-assisted development workflows.
DynamoDB customers count on consistent single-digit millisecond performance at any scale, high availability, and durable data. Testing is how DynamoDB keeps those promises with every change it ships. The Test Infrastructure team build test frameworks that every DynamoDB engineer uses to validate features, run integration and performance tests, and qualify releases. When test infrastructure is fast and reliable, every DynamoDB team delivers features faster.
Testing is also central to how DynamoDB speeds up delivery as engineers bring AI agents into their development work. An agent can only correct its own mistakes if it can run a change against a realistic system and see the result. Ready-to-run test clusters give agents that feedback loop. The features developed by this team allows DynamoDB engineers to use AI-assisted development for changes that need more than unit tests, and they let DynamoDB add automated testing to every code review and every release.
Key job responsibilities
- Design, build, and operate the test clusters, frameworks, and tooling that power DynamoDB testing.
- Build test infrastructure that AI agents can use on their own, with clusters ready on demand and results, logs, and metrics an agent can act on.
- Treat DynamoDB engineers as your customers. Cut how long they wait for test results and how often their tests fail because of infrastructure.
- Own features end to end, from design through deployment and operation, and deliver ambiguous projects with minimal guidance.
- Debug failures across services and fix root causes in the system.
About the team
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
How we rate this
Software Development Engineer, AWS DynamoDB at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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
- This job starts at
- $144k
- Typical software engineer job
- $167k
This posting starts 14% below the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where distributed databases was part of your work. What did you do?
- Tell me about a project where test infrastructure was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Distributed Databases, Test Infrastructure, Automation, and Debugging. 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.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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