Senior Software Development Engineer

About the role

Build the agentic system that automatically improves campaigns for millions of Amazon advertisers. The Sponsored Products and Brands (SPB) auto-optimization framework uses LLM-based agents, together with auction simulation, ML models and optimization algorithms, to decide what to change, apply the change within limits the advertiser sets, measure the results and learn from them. You'll own the architecture and production systems behind this loop, and because the system spends advertiser money automatically, you'll also set its safety standards.

You'll lead the design and delivery of the core services: the agent execution engine and tool orchestration, the action layer that writes changes to live campaigns, evaluation and experimentation pipelines, model serving and tuning infrastructure, and monitoring. You'll work with applied scientists to turn prototype agent capabilities into production systems that run reliably across millions of campaigns.

You'll also partner with science, product and operations to improve the agent architecture, success metrics and tuning loops. You'll work backwards from advertisers: every infrastructure decision should make optimization more effective, safer, or easier for advertisers to understand and trust.

What Makes This Role Stand Out

• Agents that act, not just advise: the system makes real changes to live campaigns, so it demands real production engineering
• 1.6MM advertisers: small gains in decision quality have outsized impact on advertiser success and Amazon's retail ecosystem
• Current agent stack: tool orchestration (including MCP), reasoning frameworks, RL fine-tuning and preference optimization
• Safety by design: spend limits, rollback, audit trails and automatic safeguards are core to the architecture

Key job responsibilities

• Own the auto-optimization platform's architecture and drive its engineering roadmap with engineering, science and product leaders
• Build the agent execution engine, covering orchestration, tool invocation, state management and scheduling across millions of campaigns
• Build the action layer that applies agent changes to live campaigns, with spend limits, advertiser controls, conflict handling, rollback and a full audit trail
• Set the safety standards for automated optimization, including observability, drift detection and automatic safeguards that pause optimization when outcomes get worse
• Build offline and online evaluation (simulation, A/B tests, holdouts) to measure decision quality, safety and incremental advertiser impact
• Build a reusable registry of tools and data (auction simulation, ML models, optimizers, campaign data), and integrate tuning pipelines (RL fine-tuning, preference optimization) with interfaces that let scientists version, roll out and roll back models
• Prototype new system designs and agent patterns, use data to decide which go to production, and meet latency, availability and cost targets, including LLM inference cost per advertiser
• Mentor engineers, lead design and code reviews, help with hiring, and own operations (on-call, COEs)

Basic Qualifications

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team

Preferred Qualifications

• 5+ 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

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

USA, NY, New York - 184,900.00 - 250,200.00 USD annually

USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually