Job Summary
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.
Key Responsibilities
You've made the shift from being an experienced, effective software engineer to being an
**AI-native** one:
- You have proven experience serving as a software engineer for web application
projects, hosted On-Premise and Cloud, supporting a large customer base.
- You treat performance as a design constraint, not a tuning pass after the fact.
- You know when to build and when to reach for a managed AWS service — you can justify that
trade-off based on the problem.
- You think in systems and evaluate designs critically — whether reviewing AI-generated code or
your own architecture — catching the subtle bug, security gap, or design choice that won't hold
up under load or misuse.
- You use spec-driven development with AI as your default way of engineering software.
- You pick up new tools and approaches quickly, since the effective way to work with AI changes
often, and you'd rather adapt early than fall behind.
- You are decisive without being divisive — you can analytically weigh trade-offs, balance
competing priorities, and drive decisions that span organizational boundaries.
- You have excellent communication and organization skills.
Skill Requirements
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