Software Dev Engineer II, TSE Ops Tech
Software Dev Engineer II, TSE Ops Tech
Posted on :
17-07-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Join our Trustworthy Shopping Experience Operations Tech (TSE Ops Tech) team in building next generations of global compliance product through the integration of software engineering fundamentals and latest generative AI technologies. You will work with an international team of product managers and stakeholders tackling complex software architecture design challenges and building highly scalable AI-first to create safer more intelligent marketplace experiences for both sellers and customers.
Key Focus Areas:
Developing AI-powered systems for automated product safety assessment and compliance verification
Building intelligent catalog management solutions using natural language processing and computer vision
Creating generative AI tools to enhance seller safety and compliance processes
Designing scalable architectures that combine traditional services with AI/ML capabilities
The Ideal Candidate Will Have:
Strong software engineering fundamentals and experience with distributed systems
Knowledge of machine learning frameworks and generative AI technologies (e.g. transformers LLMs)
Experience with AI model deployment optimization and monitoring in production environments
Ability to tackle complex problems through data-driven experimentation
What We Offer:
Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce
Exposure to global markets and diverse technical challenges
Full-stack development experience across AI and traditional systems
Collaboration with international teams of applied scientists engineers and product managers
Innovation-focused environment with emphasis on continuous learning and experimentation
Key job responsibilities
Collaborate with experienced cross-disciplinary Amazonians to conceive design and bring innovative products and services to market.
Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
Build distributed storage index and query systems that are scalable fault-tolerant low cost and easy to manage/use.
Design and code the right solutions starting with broadly defined problems.
Work in an agile environment to deliver high-quality software
About the team
Trustworthy Shopping Experience (TSE) org is part of SPS and strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. TSE Ops org caters to the operational needs of TSE. TSE Ops Tech team is part of the TSE Ops. Within TSE Ops it focuses on the needs of the Regulatory Intelligence Safety and Compliance (RISC) programs. COMS Team owns Medux Human In The Loop (HITL) system that facilitates Operations teams with automated work allocation skill management and dynamic work execution interfaces to facilitate manual action catering to multiple compliance requirements.
- 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
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key Focus Areas:
Developing AI-powered systems for automated product safety assessment and compliance verification
Building intelligent catalog management solutions using natural language processing and computer vision
Creating generative AI tools to enhance seller safety and compliance processes
Designing scalable architectures that combine traditional services with AI/ML capabilities
The Ideal Candidate Will Have:
Strong software engineering fundamentals and experience with distributed systems
Knowledge of machine learning frameworks and generative AI technologies (e.g. transformers LLMs)
Experience with AI model deployment optimization and monitoring in production environments
Ability to tackle complex problems through data-driven experimentation
What We Offer:
Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce
Exposure to global markets and diverse technical challenges
Full-stack development experience across AI and traditional systems
Collaboration with international teams of applied scientists engineers and product managers
Innovation-focused environment with emphasis on continuous learning and experimentation
Key job responsibilities
Collaborate with experienced cross-disciplinary Amazonians to conceive design and bring innovative products and services to market.
Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
Build distributed storage index and query systems that are scalable fault-tolerant low cost and easy to manage/use.
Design and code the right solutions starting with broadly defined problems.
Work in an agile environment to deliver high-quality software
About the team
Trustworthy Shopping Experience (TSE) org is part of SPS and strives to guarantee customers a trustworthy shopping and ordering experience so they can shop with confidence on Amazon. TSE Ops org caters to the operational needs of TSE. TSE Ops Tech team is part of the TSE Ops. Within TSE Ops it focuses on the needs of the Regulatory Intelligence Safety and Compliance (RISC) programs. COMS Team owns Medux Human In The Loop (HITL) system that facilitates Operations teams with automated work allocation skill management and dynamic work execution interfaces to facilitate manual action catering to multiple compliance requirements.
- 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
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
