Software Development Engineer II, Personalization

Amazon is hiring a Software Development Engineer II, Personalization 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

Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
Tools and skills the posting cites include AWS, Python and Git.
Level classifies it as a senior role.
Level lists 21,000+ other open roles at Amazon.

AI in this role

Design and develop scalable software solutions and developer tools to process big data and support personalization recommendations.

awspythongit

software-engineeringbig-datadistributed-systemsmachine-learning

Our goal is to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online. We have been delighting our customers with recommendations by constantly improving on the quality and performance of these recommendations. Our mission is to create intuitive tools to help other developers deliver recommendations features more efficiently and to better measure their performance.

Are you passionate about working on disruptive ideas? Are you obsessed with finding and building innovative user experiences? Are you enthusiastic about solving big data problems? This is a unique opportunity that combines the ability to build exciting, new user experiences for internal customers, with the opportunity to work with big data, automation, and other advanced technologies.

About you:
You are a software engineer with an interest in modern user interfaces, data science, telemetry, automation and performance. You have great problem solving skills. You have strong leadership qualities, great judgment, clear communication skills, and a track record of delivering great products. You enjoy working hard, having fun, and making history!

Key job responsibilities
- Design, develop, and maintain scalable software solutions to process big data.
- Collaborate with diverse stakeholders to envision, design, develop, and launch new and impactful software
- Utilize technology to solve complex problems
- Deliver high-quality code on schedule
- Demonstrate proficiency in diverse data structures and algorithms, making informed decisions on their appropriate usage
- Independently clarify technical requirements, estimate development timelines, and apply effective design approaches
- Conduct code reviews, offering constructive guidance to fellow team members
- Drive continuous improvement in software quality, customer experience, and product maintainability
- Mentor and lead developers, fostering curiosity and deep technical understanding

About the team
Amazon’s Personalization organization is a high-performing group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We run hundreds of experiments each year and our work has revolutionized e-commerce with features such as “Customers Who Bought Also Bought” and “Recommended for You”. This team strives to help the organization deliver on these features with high quality and efficiency. We also provide the organization with tools to understand their features' performances.

We care deeply about our customers, as well as the well-being and growth of our team members. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow. This is a track record we are proud of and will continue to uphold. We are looking for creative and innovative leaders with a similar penchant for deeply-technical problem solving and the ability to lead, mentor, and deliver while upholding Amazon’s leadership principles.

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
- 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
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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
- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware

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 II, Personalization at Amazon rates 30 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.

Key facts

Software Development Engineer II, Personalization is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $144k-$194k a year.
The role is based in US, WA, Seattle.
The job was posted on October 6, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringBig DataDistributed SystemsMachine learningAWSPythonGit

Also common in software engineer jobs at this level

Python Java AWS C++Kubernetes TypeScript

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

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where big data 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 machine learning 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 Engineering, Big Data, Distributed Systems, Machine learning, 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.

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