Software Development Engineer, Measurement, Ad Tech, and Data Science (MADS)

- 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
The charter of this team is focused on delivering Reach & Frequency (R&F) metrics, enabling advertisers to assess campaign effectiveness by understanding how many and how frequently people have seen their ad over time. Our solutions are designed to cater to a diverse set of sales teams, whom might require high-level insights on ongoing campaigns or sales planners who require detailed, reach measurement data for future campaign execution for all delivered traffic (including traffic without user identify) across their campaigns, and help them easily measure the effectiveness of their brand-awareness campaign. We serve some of the largest global advertisers and their agencies. 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. A day in the life The role of an SDE II on our team is critical to the success of our measurement and planning capabilities. SDE IIs are responsible for grooming product documents, designing, developing, and implementing the systems that underpin our incremental reach and reach and frequency products. This involves creating scalable, flexible architectures that can evolve as the needs of our clients and the industry change (i.e., worldwide expansion). They work closely with cross-functional teams, including product, data science, legal/privacy, and engineering teams, to ensure our systems are robust, reliable, and able to deliver insights with high accuracy and low latency. In addition to technical development, SDE IIs are expected to take ownership of continuous operational excellence, implementing runbooks, monitoring and alerting systems. Collaboration with science teams is also crucial, as it enables continuous improvement of our measurement models and methodologies.
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

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