Software Development Engineer

We are looking for a Software Engineer to optimize ad matching for Amazon’s programmatic advertisement products. In this role, you will work at the forefront of high-scale, low-latency customer-facing advertising systems. You will bring best practices in MLOps and Software Engineering to process large datasets and enable the development foundation of ML models in advertising. Your work will affect multi-billion dollar businesses, and you will be responsible for designing, testing, and delivering significant breakthroughs for Amazon's business.

You will embody engineering rigor, designing and executing proofs of concept that validate the technical efficacy and business value of our product hypotheses. Then, you'll bring them into production, balancing speed of execution with operational excellence. Successful candidates will have strong technical ability, be self-driven, possess excellent teamwork and communication skills, and have a motivation to achieve business results in a fast-paced environment.

Key Job Responsibilities

• Work side-by-side with our scientists to deliver code changes impacting our ads stack.
• Rapidly prototype and test many possible hypotheses/implementation alternatives in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
• Work with very large datasets.
• Integrate successful experimental results into large-scale, highly complex Amazon production systems capable of handling 100,000s of transactions per second at low latency.
• Automate, monitor, and self-heal our systems.

• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
• Experience (non-internship) in professional software development.
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

• Bachelor's degree in computer science or equivalent.
• Experience with the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.