Key job responsibilities
You will leverage Native-AI SDLC to build software solutions for Amazon's WW selling partners. You design at the product level with heavy involvement through all phases of the SDLC using concepts that may include Service Oriented Architecture, caching, load balancing, non-relational databases, microservices, sharding, n-tiered architecture, cloud and/or map-reduce.
You use object-oriented design concepts to program large multi-tier systems. You have working knowledge of common and useful design patterns.
You have designed, refactored, re-architected, deprecated and/or implemented large-scale cloud-based distributed services with millisecond latency and ultra-high transactional volumes.
You have experience implementing best practices in improving team coding culture subjected related to quality and/or security
Effectively articulate technical challenges and solutions to non-technical audiences.
In this job, you will…
Build Native-AI software solutions.
Experiment with whatever technology we need to get the job done.
Use Lean Software Development concepts such as Agile, Scrum and Kanban.
Use Test-Driven Development and Continuous Deployment.
Work with Senior and Principal Engineers, Researchers, and Data Engineers across multiple teams to design a new platform for optimizing supply chain management
Expand and optimize our world-class supply chain systems to support a variety of emerging business initiatives.
Automate third party supply management systems and break new ground to drive inventory across Amazon marketplaces.
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
3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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
Bachelor's degree in computer science or equivalent
Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
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.
