Software Development Engineer, Amazon Marketing Cloud Assistant

Amazon • Boulder, CO

7d • $143,700 - $194,400 • Onsite

About The Position

Build the AI-powered conversational agent that's transforming how advertisers interact with their data—replacing SQL queries and complex UIs with natural language that simply works. You'll work at the intersection of large language models, distributed systems, and petabyte-scale advertising data, shipping a high-visibility product at the forefront of generative AI in advertising. We're looking for a Software Development Engineer II who is excited to solve hard, novel problems: natural language understanding, data accuracy at scale, agent evaluation, and translating complex analytical workflows into intuitive AI-driven experiences. This is a fast-paced, ownership-driven environment where you'll collaborate across science, product, and engineering to ship products that directly impact how millions of advertisers succeed on Amazon.

Requirements

• 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

Nice To Haves

• Experience with advertising technology, analytics platforms, or AWS services is a plus.
• 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

Responsibilities

• Design and build core backend services powering an LLM-based conversational assistant for Amazon Marketing Cloud
• Own end-to-end delivery of features—from system design through production deployment and operational excellence
• Build scalable data pipelines and infrastructure that ingest and process petabyte-scale advertising data from multiple sources
• Shape the future of how advertisers generate insights, build audiences, and optimize campaigns through AI
• Design, develop, and maintain backend services powering the AMC conversational assistant
• Build and optimize LLM orchestration pipelines including prompt engineering, tool use, and agent workflows
• Develop APIs and integrations with AMC's query engine, reporting services, and audience management systems
• Collaborate with applied scientists to integrate ML models and improve response quality
• Contribute to the evaluation framework—designing metrics, building ground truth datasets, and improving agent accuracy
• Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs)
• Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns
• Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently
• Implement data quality checks, validation logic, and monitoring for data pipelines and services
• Optimize performance and cost efficiency of data processing jobs and queries
• Own end-to-end delivery of features from design through production deployment
• Write clean, well-tested code and participate in code reviews to maintain high engineering standards
• Improve system reliability, latency, and scalability as the product scales to more advertisers
• Debug and resolve production issues, participating in on-call rotations as needed
• Document systems, processes, and runbooks to support operational excellence
• Collaborate with senior engineers to contribute to design discussions and architectural decisions

Benefits

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree