AmazonSoftware Engineer, Worldwide Amazon Stores Finance Technology, Controllership Engineering
Amazon is hiring a Software Engineer, Worldwide Amazon Stores Finance Technology, Controllership Engineering 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 Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Bedrock, AWS and Lambda.
- Level classifies it as a mid-level role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Build automated financial control systems and AI agents on AWS to help Amazon finance teams catch errors and optimize spending.
Key job responsibilities
- Build services that check purchase requests and orders against finance rules in near real time, then correct or flag issues before approval.
- Automate financial controls, such as reviews of fixed assets, leases, cost centers, open orders, so finance teams spend less time collecting data by hand and more time acting on exceptions.
- Build data pipelines on AWS, including Lambda, StepFunctions, Glue, EMR, DDB, and S3, that feed C-Hub/dashboards finance teams use during month-end close and audit reviews.
- Build AI agents on Amazon Bedrock AgentCore with the Strands SDK, including MCP tools, context and memory management, evaluation, harnesses, and guardrails that keep finance answers accurate.
- Big data experience with Spark, StarRocks, or similar OLAP engines.
- Build web applications and browser extensions in React and TypeScript that let finance users review exceptions, filter large datasets, and export results.
- Turn defined business requirements into technical designs, review them with senior engineers, and take them from prototype to production.
- Own your services in production. Write the tests, alarms, and automated rollbacks that let a change reach customers in hours, not days. Take part in on-call rotation.
- Work directly with finance, accounting, product, and data science partners, and explain technical tradeoffs.
A day in the life
Most of your day goes to building. You might start by looking into an alarm from an overnight data job that feeds a finance control. Then you meet an accounting partner to design how a manual review could run automatically. After lunch, you write code and tests and ship the change through an automated pipeline the same day. Some weeks, you test a new AI model against an evaluation set to see if it gives better answers. Near month-end close, you answer finance users who want to know why a control flagged a transaction.
About the team
We are a team of software engineers who build the tools that keep Amazon's spending accurate and its financial reports audit-ready. Our customers are finance analysts, accountants, and employees across Amazon who buy goods and services. We own our products end to end, from data pipelines and services to the web apps and AI agents people use every day. We ship changes through automated pipelines and measure our work by the manual effort and errors we remove. We value clear writing, careful reviews, and engineers who ask why a process exists before they automate it.
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
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent
Preferred qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of machine learning model architecture and inference
- Knowledge of computer architecture, operating systems, and parallel computing
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
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 Engineer, Worldwide Amazon Stores Finance Technology, Controllership Engineering at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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 software engineering was part of your work. What did you do?
- Tell me about a project where backend 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?
- Tell me about a project where cloud computing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Software Engineering, Backend, Distributed Systems, and Cloud Computing. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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