Software Development Engineer II, Compliance and Safety Services, Amazon Stores, Compliance and Safety Services (CoSS), Amazon Stores
Amazon is hiring a Software Development Engineer II, Compliance and Safety Services, Amazon Stores, Compliance and Safety Services (CoSS), Amazon Stores in Bucharest, Romania. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
- The posting mentions AWS, LLMs and Slms among its tools and skills.
- Level classes it as a mid-level role.
- Amazon has 20,000+ other open roles on Level.
AI in this role
Software Development Engineer building ML automation and LLM/SLM models for compliance and safety services at Amazon.
Your work will directly shape how Amazon identifies and mitigates product safety risks, using real product data to build automation that protects both buyers and selling partners. You will collaborate closely with program teams and a dedicated science team, designing and delivering solutions that make compliance faster, more accurate, and more cost-efficient. If you are excited about applying AI to real-world safety challenges, we would love to hear from you.
Key job responsibilities
- Design, develop, and maintain microservices hosted in AWS that power ML-driven compliance automation, producing architecture designs and ensuring software quality through code reviews and documentation.
- Build, release, and iterate on AI models and our services in partnership with science and program teams.
- Research and implement solutions for technically ambiguous problems, balancing tradeoffs in scalability, maintainability, and performance while keeping operational costs in check.
- Collaborate with program teams and internal customers to understand compliance requirements, translating business needs into well-architected software that delivers measurable safety improvements.
- Mentor fellow engineers through code reviews, onboarding, and knowledge sharing, contributing to a team culture of continuous learning and technical growth.
A day in the life
You will start your morning with a daily scrum, syncing with your team on progress and blockers. Throughout the week you will join operational reviews, backlog refinement sessions, and biweekly sprint planning to keep delivery on track. Much of your time is spent heads-down writing code and designing solutions, but you will also pair with scientists to refine model behavior and occasionally meet with compliance program customers to understand their evolving needs. Your manager supports you with a weekly one-on-one focused on your priorities and career development.
About the team
Our team sits at the intersection of AI, science, and engineering, with a single mission: keep Amazon's customers safe and happy. We build shared automation services that compliance and business programs rely on to lower risk across Amazon's product catalog, serving both buyers and selling partners at scale.
Growth is part of our culture. Team members have transitioned from traditional software engineering into ML-focused roles, supported by free AWS training courses and hands-on mentorship from senior engineers who are invested in your development. We are expanding our use of AI to tackle new safety challenges, making this a compelling time to join and shape what comes next.
Basic qualifications
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Bachelor's degree or equivalent
Preferred qualifications
- Bachelor's degree in computer science or equivalent
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
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.
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How we rate this
Software Development Engineer II, Compliance and Safety Services, Amazon Stores, Compliance and Safety Services (CoSS), Amazon Stores at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● 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
- 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
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- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where python was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where ai models was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, Python, Microservices, Software Engineering, and AI 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.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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