Lead Full-Stack Engineer (Node/Go/Angular) – AI-Driven Risk Tech

Capital One National Association; McLean (VA); Hybrid; USD 230,000 - 262,000; Full time

Job summary

Capital One is seeking Full-stack Software Engineers to drive a major transformation across Risk Tech. You will work on distributed microservices and cloud-native systems, mentoring teams and collaborating with product managers to deliver impactful digital experiences for millions of Americans.

Qualifications include a CS-related degree, 6+ years in software engineering, and 3+ years with cloud platforms like AWS, GCP, or Azure.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• Minimum 6 years in software engineering; internship not included.
• At least 3 years on public cloud platforms (AWS, GCP, Azure).

Responsibilities

• Lead a portfolio of diverse tech projects and a team of developers.
• Mentor engineers and participate in technology communities.
• Collaborate with product managers to deliver cloud-based solutions.
• Use Java, Scala, Python, Go, Node.js, JavaScript/TypeScript across stacks.
• Provide technical leadership and shape architecture and roadmaps.
• Drive end-to-end design for large-scale, reliable systems.
• Partner with architects to define platform strategy.

Skills

Distributed microservices

Full stack development

Java

Python

Go

JavaScript/TypeScript

AWS

GCP

Azure

Docker

Kubernetes

CI/CD

Git

Observability

Education

Bachelor's Degree in Computer Science or related field

Master’s Degree preferred

Tools

Docker

Kubernetes

AWS

GCP

Azure

CI/CD pipelines

Infrastructure as Code

Git (GitHub/Bitbucket)

Job description

Capital One is seeking Full-stack Software Engineers to drive a major transformation across Risk Tech. You will work on distributed microservices and cloud-native systems, mentoring teams and collaborating with product managers to deliver impactful digital experiences for millions of Americans.

Qualifications include a CS-related degree, 6+ years in software engineering, and 3+ years with cloud platforms like AWS, GCP, or Azure.