Full Job Description
We are looking for an experienced Sr. Software Development Engineer to join a highly respected team building one of the largest configuration audit platforms in the world. We are building agentic AI solutions that automate the end-to-end lifecycle of resource type onboarding - from research and schema authoring through testing, validation, and deployment. You'll work at the intersection of large-scale distributed systems and AI-driven automation, designing agents that can reason about AWS service APIs, author configuration schemas, and validate correctness with minimal human intervention.
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work.
Key job responsibilities
- Design, build, and operate high-scale, highly available distributed services that extend AWS Config.
- Design and build AI agent orchestration systems that automate resource type onboarding at scale
- Own solutions across the full lifecycle: design, implementation, deployment, monitoring, and support.
- Own operational excellence for agentic workflows - monitoring, alerting, and self-healing mechanisms
- Mentor and guide junior engineers through design reviews and constructive, rigorous code reviews.
- Bring structure to ambiguous problems, manage competing priorities, and make data-driven decisions.
BASIC QUALIFICATIONS
- 6+ years of non-internship professional software development experience
- 6+ years of programming with at least one software programming language experience
- 6+ 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
- Experience building complex software systems that have been successfully delivered to customers
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
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
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, WA, Seattle - 168,100.00 - 227,400.00 USD annually