Senior Full-Stack Engineer, AI-Driven Risk Tech

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Full-stack Software Engineer in Risk Tech to build and deploy AI-powered risk management tools. You will work with GRC teams to deliver cloud-based solutions that scale for millions of users, applying state-of-the-art AI capabilities and open source frameworks.

You’ll lead diverse technology projects, mentor engineers, and collaborate with product managers to drive robust, secure, compliant software across distributed microservices.

Qualifications

• Bachelor's degree in Computer Science or related field; master’s preferred.
• 4+ years in software engineering with modern full-stack focus.
• Experience with public cloud platforms and distributed systems.

Responsibilities

• Lead a portfolio of diverse technology projects with a team of developers.
• Collaborate with product managers to deliver cloud-based, scalable solutions.
• Mentor engineers and drive best practices across Agile teams.

Skills

Distributed microservices

Full stack development

Cloud platforms (AWS, GCP, Azure)

Open source tooling

API development

Mentoring engineers

CI/CD pipelines

Git & GitHub

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Docker

Kubernetes

AWS Lambda

AWS tools

Git / GitHub

CI/CD tooling

Job description

Capital One is seeking a Full-stack Software Engineer in Risk Tech to build and deploy AI-powered risk management tools. You will work with GRC teams to deliver cloud-based solutions that scale for millions of users, applying state-of-the-art AI capabilities and open source frameworks.

You’ll lead diverse technology projects, mentor engineers, and collaborate with product managers to drive robust, secure, compliant software across distributed microservices.