Amazon
Software Development Engineer, Compliance & Safety Services
Iasi, ROU
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.4M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Mid level
- Country
- RO
- Work mode
- On-site / unstated
- First seen by hirly
- 27 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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.
Similar jobs
- Software Development Engineer, Growth TeamAdobe · BucharestFirst seen 5d ago
- ML Services Software Development EngineerAdobe · BucharestFirst seen 6d ago
- Embedded Development EngineerEmerson · PUNE, MAHARASHTRA, IndiaFirst seen today
- Software Development Engineer, IAM, Authorization ManagementAmazon · Iasi, ROUFirst seen 6d ago
- Software Development Engineer, Amazon PrivacyAmazon · Iasi, ROUFirst seen 6d ago
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job