Amazon·E-commerce·4 days ago
4 days ago
Software Development Engineer II, Compliance and Safety Services, Amazon Stores, Compliance and Safety Services (CoSS), Amazon Stores
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What you'll do
- 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.
What they're looking for
- 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
Nice to have
- Bachelor's degree in computer science or equivalent
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Do you want to use AI and machine learning to make products safer for hundreds of millions of customers? Amazon's Compliance Shared Services team is looking for a Software Development Engineer II to build ML automation and AI models that help keep customers safe. You will leverage large language models (LLMs) and small language models (SLMs) to create intelligent systems that automate compliance controls at global scale.
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.
- 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
- 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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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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E-commerce
Company
AmazonE-commerce
Bucharest, Romania
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