Amazon Senior Software Development Engineer Amazon Demand Side Platform 

United States, California, Palo Alto 

632429384

This is no ordinary software engineering role. You'll be tackling complex, industry-defining challenges, leveraging the right technologies to create reliable, high-performance solutions. From decomposing ambiguous problems into clear, straight-forward implementations to collaborating with product managers on new feature ideas, every day will bring novel obstacles to overcome.
Key job responsibilities
In this role, you will:* Have the opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.
* Brainstorm with product management and partner teams about new ideas, technical design and project plans; make data-driven decisions to inform product prioritization.
* Drive mission critical projects, work with senior and principal engineers and mentor junior level engineers.A day in the life
* You will interact with product managers, solution architects and customer success teams to understand business needs and identify technical solutions
* You will manage recommendation/ranking systems and the underlying data and feature engineering pipelines/systems to optimize customer outcomes and costWork/Life Harmony
Mentorship & Career Growth

- 7+ years of non-internship professional software development experience
- 7+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ 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
- 3+ years of leading design and implementation of machine learning systems in production.
- Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, PyTorch, etc.
- Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing