Software Development Engineer, Compliance & Safety Services

Amazon is hiring a Software Development Engineer, Compliance & Safety Services. 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.
Tools and skills the posting cites include AWS, Java and Python.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Build and scale AI-powered product classification and compliance systems using distributed architecture and machine learning.

AWSJavaPython

distributed-systemsmachine-learningapi-developmentgraph-neural-networkslarge-language-models

Join our team building AI-powered product classification systems at Amazon scale. Your code will directly impact millions of products and sellers worldwide, automating compliance workflows and reducing seller friction through better classification accuracy and transparency.

Are you passionate about solving complex engineering challenges that blend machine learning, distributed systems, and regulatory compliance? We're looking for a Software Development Engineer to help build classification systems that automatically identify product compliance requirements, explain decisions to sellers, and streamline the marketplace experience.

Key job responsibilities
- Design, develop, and maintain scalable distributed systems using AWS, Java, and Python
- Build and optimize classification pipelines that process millions of product classifications
- Implement features that help sellers understand compliance decisions and take actionable steps
- Collaborate with science teams to productionize machine learning models including graph neural networks and large language models
- Develop APIs and integrations that connect classification systems with seller-facing tools and compliance workflows

A day in the life
You might start your day reviewing system metrics, then work on improving APIs or building new features for compliance tools. You'll collaborate with applied scientists on machine learning integration, work with product managers on requirements, and partner with compliance teams on system design.

Your work contributes to more efficient operations and better seller experiences through improved automation and clearer guidance.

About the team
The classification engineering team is part of Amazon's Compliance & Safety Services organization, where we build systems that ensure product safety and regulatory compliance across Amazon's global marketplace.

We're responsible for multiple high-impact projects that collectively process large volumes of products. Our systems help Amazon meet regulatory obligations while reducing friction for sellers. The team culture emphasizes technical excellence, collaborative problem-solving, and continuous learning from both senior and mid-level engineers.

You'll be part of building systems that help streamline compliance processes, working at the intersection of AI, regulatory technology, and large-scale distributed systems. Our mission is to make compliance more transparent, automated, and seller-friendly while maintaining high standards of safety and trust.

Basic qualifications

- Experience (non-internship) in professional software development
- Experience programming with at least one software programming language
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Preferred qualifications

- Bachelor's degree in computer science or equivalent
- Experience building complex software systems that have been successfully delivered to customers
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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, Compliance & Safety Services 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.

Classification

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.

Key facts

Software Development Engineer, Compliance & Safety Services is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in RO, Iasi.
The job was posted on August 18, 2026.
Seniority: mid.
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

Distributed SystemsMachine learningAPI DevelopmentGraph Neural NetworksLarge Language ModelsAWSJavaPython

Also common in software engineer jobs at this level

AI agents Kubernetes TypeScript C++React Google Cloud

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 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?
Tell me about a project where api development was part of your work. What did you do?
Tell me about a project where graph neural networks was part of your work. What did you do?
Tell me about a project where large language models was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Distributed Systems, Machine learning, API Development, Graph Neural Networks, and Large Language Models. 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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