Software Development Engineer, AWS Service Quotas

Job description

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 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.