> Markdown version of [/jobs/ext/3689891-software-development-engineer-measurement-ad-tech-and-data-science-mads](https://www.wearedevelopers.com/jobs/ext/3689891-software-development-engineer-measurement-ad-tech-and-data-science-mads). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

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

- **Company:** AMAZONIANS FBA, LLC
- **Location:** Boulder, CO, United States
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, C Sharp (Programming Language), C++ (Programming Language), Code Review, Computer Programming, Software Design Patterns, Distributed Systems, Amazon DynamoDB, Perl (Programming Language), Machine Learning, Object-Oriented Software Development, Software Engineering, Multithreading, Apache Spark, State Machines, Reliability of Systems, Information Technology, Build Process, Machine Learning Operations, Api Design, Software Coding, Software Version Control, User Identification
- **Published:** October 11, 2026
- **Apply:** https://www.juju.com/job/1_amazon6-10476732

## About the Role

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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design 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

## Description

You'll own services that process millions of audience memberships daily and orchestrate customer ML workloads with strict reliability, privacy, and latency requirements.
The AMC Custom Models and Signals team owns two high-impact domains: our Custom Models platform (ML orchestration via AWS Clean Rooms, SageMaker, and Spark) and our audience and custom signals publication pipeline (high-throughput identity resolution and segment delivery to Amazon DSP and Sponsored Ads).
You'll work directly with large enterprise advertisers and see your work drive measurable advertising outcomes.
We're looking for an engineer who writes production-quality code, cares about operational excellence, leverages AI efficiently, and wants to solve hard distributed systems problems at scale.
Key job responsibilities - Design, build, and operate distributed services (Java, Lambda, Step Functions, DynamoDB, Spark) that orchestrate ML model training, inference, and audience activation - Own end-to-end delivery of features across the Custom Models platform and audience/signals publishing pipeline - from API design through deployment and production monitoring - Investigate and resolve complex production issues spanning multiple services and AWS dependencies (Step Functions, Clean Rooms, SageMaker, Glue, S3) - Improve system reliability, observability, and operational tooling for multiple Ads Tier 1 services - Collaborate with science, product, and partner teams to translate customer requirements into scalable technical solutions - Participate in on-call rotation and drive operational excellence through COEs, runbooks, and automated monitoring About the team AMC Custom Models and Signals is a Boulder-based team building the systems that turn AMC analytics into real-world
advertising outcomes.
We own Custom Models (ML orchestration), Igno (audience publishing), AMS (identity resolution and delivery), and Custom Signals API (new activation signals).
Our work directly powers audience targeting, measurement, and ML-driven optimization for enterprise advertisers.
We value ownership, operational rigor, and solving hard problems simply - and we're investing heavily in GenAI and agentic approaches to platform reliability and customer experience.