About the job
Amazon Web Services has enabled large enterprises and growing startups to move quickly by increasing developer productivity. Security, auditability and governance in the cloud has moved from being a top concern to top reason for adopting Cloud services. AWS Config and Config Rules have been leading this transition by providing insights into user activity, change tracking and automated security and compliance tools. 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.
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.
Qualifications
Minimum
- 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
- 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