About the position
Imagine having the opportunity to directly shape the experiences of millions of Amazon customers every day. As part of our Advertising team, you'll do just that - designing, building, and maintaining the large-scale systems that power Amazon's advertising offerings. 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 the ground up for the entire Ad industry. 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. The ideal candidate has a proven track record of delivering new products and features, with a deep understanding of computer science fundamentals, experience building large-scale distributed systems and machine learning infrastructure. You take initiative to improve operational excellence. You're a self-starter who thrives in fast-paced, collaborative environments, with strong verbal and written communication skills. Most importantly, you're passionate about solving complex problems on behalf of customers.
Responsibilities
- Design, develop, test, deploy, deliver, and maintain distributed systems and data pipelines that are core to Amazon’s Advertising stack.
- Grow and broaden technical skills in an environment that thrives on creativity, experimentation, and product innovation.
- Functionally decompose complex problems into simple, straight-forward solutions.
- 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 engineers and mentor junior level engineers.
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.
Nice-to-haves
- 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.
- 1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience.
Benefits
- Flexibility in working hours.
- Support for career growth and mentorship.
- Work-life harmony.
