Software Development Engineer , Media Planning and Measurement

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
• 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.
• USA, CO, Boulder - 143,700.00 - 194,400.00 USD annually
• USA, NY, New York - 158,100.00 - 213,800.00 USD annually

Additional Information

Application deadline: Jun 1, 2026 Amazon Ads is the fastest-growing segment of Amazon's business, and Budget Planning Services (BPS) is the intelligence engine behind how advertisers allocate billions in ad spend across Amazon's ecosystem. BPS powers budget optimization, reach forecasting, and media planning recommendations for some of the world's largest brands - helping them decide where to invest across Streaming TV, Display, Sponsored Ads, and emerging channels. We're building the next generation of AI-powered planning infrastructure: a standalone BPS Agent that exposes budget optimization as composable skills via Model Context Protocol (MCP). Our systems serve multiple consumers - from the Ads Planner UI to AI agents (Smart DVA, Sales Assistant) to programmatic APIs used by agencies globally. Think multi-step optimization workflows, agentic orchestration, real-time forecasting, and intelligent budget allocation at scale. Key job responsibilities We're looking for software engineers who want to build at the intersection of AI agents, optimization systems, and advertising technology. You'll design and deliver: - Agentic skills and MCP tool integrations that expose budget optimization to consuming agents and platforms - Multi-step orchestration workflows that compose forecasting, optimization, and explainability services into coherent planning recommendations - Scalable APIs and batch endpoints serving real-time and programmatic consumers (internal agents, agency platforms, sales tools) - Machine learning-informed optimization services that allocate budgets across 40+ advertising channels using reach curves, audience overlap, and seasonal models You'll work across the stack - from TypeScript-based agent infrastructure to Python optimization services to distributed systems on AWS (Lambda, DDB, EMR, S3).

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