AmazonSenior Software Engineer, Worldwide Amazon Stores Finance Technology
Amazon is hiring a Senior Software Engineer, Worldwide Amazon Stores Finance Technology in Seattle, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical software engineer posting on Level.
- Tools and skills the posting cites include AWS, Python and GenAI.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Design and build GenAI-based solutions and chatbots for Amazon's Finance organization, owning architecture and technical design.
We are developing GenAI-based solutions to improve efficiency and bring a paradigm shift to the broader Finance organization within Amazon. One of our flagship efforts is a GenAI chatbot that will transform the life of Finance Analysts by giving them quick access to finance-specific critical information, bringing new efficiency to their day-to-day work. We are constantly looking for innovative ways to solve problems by leveraging Big Data solutions, AWS technologies, Data Science, Machine Learning, and GenAI.
As a Senior SDE, you will get the opportunity to design and implement solutions from scratch, set the technical direction for high-impact GenAI and data products, and work alongside senior engineers who will partner with you and support your growth. This is a high-ownership, high-visibility role with a direct line of sight to how Amazon's Finance organization operates.
Key job responsibilities
- Own the architecture and technical design of GenAI and Big Data platforms, from data ingestion and retrieval to model integration and the end-user experience.
- Design and build the Finance Analyst GenAI chatbot, including retrieval, grounding, evaluation, and safety of responses over finance-specific data.
- Break down ambiguous financial and product requirements into clear technical designs and drive them from prototype to production launch.
- Set and enforce engineering standards for operational excellence, security, testing, and deployment safety across the team.
- Mentor engineers, raise the design-review bar, and act as a force multiplier for the broader Controllership Engineering org.
- Partner with Product, Finance, and Data Science stakeholders to align technical decisions with real analyst workflows and business outcomes.
- Drive operational excellence by reducing manual toil, improving reliability, and removing recurring sources of defects.
Basic qualifications
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
Preferred qualifications
- 5+ 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 - 168,100.00 - 227,400.00 USD annually
How we rate this
Senior Software Engineer, Worldwide Amazon Stores Finance Technology at Amazon rates 65 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
- $168k
- Typical software engineer job
- $167k
This posting starts close to the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where software architecture 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 data science was part of your work. What did you do?
- Tell me about a project where mentoring was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Architecture, Machine learning, Data Science, Mentoring, and AWS. 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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