AI-Native Software Engineer

• BS or MS degree in Computer Science, Computer Engineering, or a related technical field, or demonstrated equivalent experience.
• Demonstrated fluency in leveraging AI technologies across the entire software development lifecycle, including breaking down user stories into actionable tasks, AI-assisted coding and testing, automated defect resolution, and deployment of fully tested software.
• Deep, hands-on experience building and deploying production systems on AWS (e.g., EC2, Lambda,ECS/EKS, S3, RDS/DynamoDB, API Gateway), with a track record of real, customer-facing applications running in production.
• Server-side software development experience with Python, Java, NodeJS, and/or other similar technologies; client-side web application development experience using React, Backbone, native JavaScript, and/or other comparable technologies.
• Expertise in building secure, large-scale systems using fault-tolerant technologies (such as Elasticsearch, CockroachDB, Oracle, MongoDB & Kafka).
• AWS certification (e.g., Solutions Architect, Developer) and/or CISSP/CCSP or similar security certification useful, not required.

We are looking for a full-stack, AI-native software engineer with deep AWS expertise to build capabilities that will help secure the products of today and the AI-built, agent-operated systems of tomorrow.

Your technical leadership will be vital in solving some key challenges ahead of us, whether it’s architecting an always-on API platform that scales to our enterprise, modernizing legacy applications and monolithic architectures that predate how fast code and risk move today, or prototyping how security keeps pace as AI reshapes the way software gets built.

You will collaborate with leadership and engineers equally to put in place an execution plan, using agile methodologies, to develop/test/deploy/support industry-leading services for our customers.