Senior Full-Stack Engineer, Risk Tech & AI

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

Job summary

Capital One is seeking a Full Stack Engineer 4 (Manager IC) in Richmond, VA to lead a portfolio of modern, distributed microservices and full stack systems. You’ll mentor developers, collaborate with product managers, and deliver cloud‑based solutions that scale to millions of customers.

You will drive architectural decisions, promote best practices, and explore emerging AI‑assisted tooling while aligning with risk and regulatory requirements.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field.
• At least 4 years of experience in software engineering (Internship experience does not apply).
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure) or virtualization technologies.

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems.
• Collaborate with product managers to deliver robust cloud‑based solutions that drive impactful experiences for customers.
• Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence.
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
• Proactively identify areas for improvement, reducing technical debt and enhancing system performance.

Skills

Software engineering

Distributed microservices

Full stack development

Cloud platforms (AWS, GCP, Azure)

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

Job description

Capital One is seeking a Full Stack Engineer 4 (Manager IC) in Richmond, VA to lead a portfolio of modern, distributed microservices and full stack systems. You’ll mentor developers, collaborate with product managers, and deliver cloud‑based solutions that scale to millions of customers.

You will drive architectural decisions, promote best practices, and explore emerging AI‑assisted tooling while aligning with risk and regulatory requirements.