Amazon.com Services LLC
Advertising Technology
SrSoftwareDevelopmentEngineer,SponsoredProductsandBrands
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“Sr Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: AI bidding platform, GenAI architecture, Real-time systems, ML infrastructure. Architect AI bidding platform. Own technical strategy”
What You'll Achieve.
Raise engineering bar; Scale to billions of daily decisions; Deliver permanent, scalable solutions
Industry & Context.
Ambiguous challenges; Hard problems; High-stakes technical problems; Systemic operational risks; Technical debt; Architectural gaps
What They're Looking For.
Must Have
5+ years professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team, Experience with distributed systems at scale, Experience with Generative AI technologies, Experience with large language models, Experience with model fine-tuning, Experience with RLHF, Experience with RAG, Experience with agentic architectures
Nice to Have
5+ years full software development life cycle, Master's degree in computer science, Experience in online advertising, Familiarity with advertising products, Familiarity with ad serving technologies
What You'll Do.
Architect AI bidding platform
Own technical strategy
Define real-time proxy bidding engine
Compute per-request bids
Build ML inference infrastructure
Establish scaling patterns
Learn from bidding outcomes
Design agent-to-agent protocols
Manage session lifecycle
Design experimentation infrastructure
Support online experiments
Test bidding strategies
Test AI optimization approaches
Identify needs before obvious
Frame technical strategy
Make architectural decisions
Own multi-year technical roadmap
Design real-time proxy bidding engine
Scale to billions of daily decisions
Build ML inference infrastructure
Design agentic systems
Process advertiser signals
Deliver AI-powered bidding optimization
Deliver intelligent campaign guidance
Establish engineering standards
Establish design patterns
Establish evaluation frameworks
Govern AI system building
Govern AI system testing
Govern AI system validation
Drive architectural decisions
Resolve cross-system dependencies
Unblock organizational delivery
Frame technical problems
Define engineering strategies
Define success criteria
Identify operational risks
Eliminate technical debt
Eliminate architectural gaps
Deliver scalable solutions
Conduct design reviews
Elevate technical quality
Raise bar for system thinking
Represent team in forums
Influence technical direction
Partner with product managers
Partner with applied scientists
Partner with principal engineers
Translate advertiser needs
Translate business strategy
How You'll Work.
Team & Collaboration
Engineering teams; Product teams; Science teams; Cross-org design reviews; Principal engineering forums; Product managers; Applied scientists; Principal engineers
Communication Scope
Technical strategy; Design reviews
Process & Methodology
Roadmap planning
Full Job Description
Architect the AI bidding platform that powers billions of daily ad decisions for millions of advertisers—from a first-time small business owner launching their debut campaign to enterprise brands managing hundreds of millions in spend. You'll own the technical strategy end-to-end: real-time inference at sub-millisecond latency, GenAI agents that learn and optimize autonomously, and experimentation infrastructure that proves it all works at scale. Amazon Sponsored Products and Brands is seeking a Senior Software Development Engineer to join our Advertiser Controls team. You will set the architectural direction, make high-judgment technical decisions independently, and raise the engineering bar across the organization. What You'll Own - Real-Time Proxy Bidding Engine (Tier 1) — Define and lead the engine that computes per-request bids at sub-millisecond latency, build the ML inference infrastructure serving model outputs at bid-request time, and establish patterns that scale to billions of daily decisions - GenAI & Agentic Intelligence Layer — Architect AI systems using LLMs, reinforcement learning, and preference optimization that learn from bidding outcomes and advertiser feedback; design agent-to-agent protocols, session lifecycle management, and model fine-tuning pipelines - Experimentation Infrastructure — Design systems supporting multiple concurrent online experiments, enabling the team to test bidding strategies and AI optimization approaches with speed and statistical rigor How You'll Lead - Identify what needs to be built before it becomes obvious and frame technical strategy for ambiguous challenges - Drive alignment across engineering, product, and science teams - Mentor and develop engineers; represent the team in cross-org design reviews and principal engineering forums - Make independent architectural decisions on hard problems—escalating only when broader organizational alignment is required Why You'll Love It - Your decisions directly shape how hundre
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