Software Development Engineer, Ads AI Core Infra (ACI)

Amazon; Seattle (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

Amazon Advertising in Seattle seeks a software engineer to design and build scalable systems powering advertising at scale. You will work on APIs serving millions of advertisers, building MCP infrastructure for low-latency context delivery, and advancing design patterns for global ads experiences.

You'll operate with AWS tooling, CI/CD pipelines, and data at PB scale, collaborating across teams to push innovative, reliable solutions while maintaining high standards for performance and security.

Qualifications

• 3+ years of professional software development experience.
• 2+ years of design or architecture experience (design patterns, reliability and scaling) of new and existing systems.
• Experience programming with at least one software programming language.

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.

Skills

Software development

Architecture patterns

Programming languages

Education

Bachelor's degree in computer science or equivalent

Tools

AWS services

Job description

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

Basic Qualifications

- 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

Preferred Qualifications

- 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.