Senior Full-Stack Engineer, Finance Tech – Cloud & Microservices

Capital One; Richmond (VA); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One in Richmond, VA is seeking a Senior Full-stack Engineer 5 to lead a portfolio of distributed, cloud-native initiatives across finance tech. You will architect, implement, and deliver robust microservices using Java, Scala, Python, Go and Node.js, with Docker/Kubernetes on AWS/GCP/Azure.

You will mentor engineers, collaborate with product teams, and define platform roadmaps while ensuring security, reliability, and high performance.

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field
• At least 6 years of experience in software engineering
• At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, 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
• Mentor engineers and participate in technology communities and learning
• Collaborate with product managers and deliver cloud-based solutions for scalable experiences
• Utilize Java, Scala, Python, Go, Node.js, RDBMS and NoSQL databases, Docker and Kubernetes, and AWS services
• Provide technical leadership across multiple teams and shape system architecture
• Drive end-to-end design of large-scale distributed or cloud-native systems with high reliability
• Partner with architects and product leaders to define roadmaps and shared services strategy

Skills

Java

Scala

Python

Go

Node.js

Open Source

Education

Bachelor's degree in Computer Science or related field

Master’s degree

Tools

Docker

Kubernetes

AWS

GCP

Azure

Git

GitHub

Job description

Capital One in Richmond, VA is seeking a Senior Full-stack Engineer 5 to lead a portfolio of distributed, cloud-native initiatives across finance tech. You will architect, implement, and deliver robust microservices using Java, Scala, Python, Go and Node.js, with Docker/Kubernetes on AWS/GCP/Azure.

You will mentor engineers, collaborate with product teams, and define platform roadmaps while ensuring security, reliability, and high performance.