Level

Amazon

Software Development Engineer, Ads Campaign Management

AI in this role

ai-agents
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
System Architecture & Design
- 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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) 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

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.

How we score this

Software Development Engineer, Ads Campaign Management at Amazon scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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