Role at a glance
- Salary
- $143.7K – $194.4K/yr
- Location
- Boulder, Colorado, United States
- Work arrangement
- On-site
- Employment
- Internship
- Experience
- 3+ years of non-internship professional software development experience
- Education
- Bachelor's degree in computer science or equivalent
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The AMC Custom Models and Signals team builds distributed systems for ML model execution, audience activation, identity resolution, and custom signal delivery for Amazon Marketing Cloud. The role supports Custom Models and audience and signals publication systems used for advertising targeting, measurement, and ML-driven optimization.
What You'll Do
- Design, build, and operate distributed services using Java, Lambda, Step Functions, DynamoDB, and Spark to orchestrate ML training,...
- Own feature delivery across the Custom Models platform and audience and signals publishing pipeline from API design through deployment...
- Investigate and resolve production issues across Step Functions, Clean Rooms, SageMaker, Glue, S3, and other AWS dependencies.
- Improve reliability, observability, and operational tooling for 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required
- 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
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Turn billions of advertising signals into real-world outcomes — building the distributed systems that power ML model execution, audience activation, and campaign optimization for the world's largest brands on Amazon Marketing Cloud (AMC). 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.
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, 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CO, Boulder - 143,700.00 - 194,400.00 USD annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.