Software Development Engineer, Ads Campaign Management

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering AI-powered solutions that transform how advertisers make strategic decisions. We deliver billions of ad impressions and process massive volumes of advertiser data every single day. You'll work with us to pioneer breakthrough approaches in how AI agents access and reason over real-time advertiser data at scale. The Campaign Management team is responsible for capturing inputs for advertisers to control their advertising efforts. You can think of our team as the brain and nervous system of all the advertisements you see on amazon.com. We build large scale, high velocity distributed systems to service 100’s of millions of API requests per day, steam data at PB scale, process business logic on tight latency budgets, all while streaming and the data at high fidelity to 20+ other services to perform other critical advertising functions. We stand up world class CI/CD pipelines to deploy our service automating infrastructure provisioning, high volume load testing and first-rate monitoring so our engineers can keep their heads down inventing for our advertisers. Our problem space covers concurrent workflows across distributed systems (linearizability, eventual consistency), big data problems (propagation delay, ordering and hygiene) and performance (search optimization). Our team uses the latest AWS products and services to solve our problems including but not limited to: ECS, Fargate, EC2, EMR, Lambda, Kafka, Elastic Search, Dynamo DB, SQS, SNS, Cloud watch, CDK, Cloud Formation and many more. We are using generative AI and agentic systems to help advertising agents provide instant, strategic advice to millions of advertisers. You will need to invent new techniques for global ads experience, agent orchestration, and context optimization to ensure we're delivering accurate, trustworthy insights with minimal latency and token consumption. You'll create feedback loops to ensure our solutions are constantly evaluating themselves and improving. Key job responsibilities - Design and implement scalable architectures for APIs serving millions of advertisers at thousands of transactions per second - Build Model Context Protocol (MCP) server infrastructure—an emerging standard for AI agent-data interaction—that delivers advertiser context with sub-second latency and minimal token consumption - Establish system design patterns and best practices for global ads experience at scale