Senior Full-Stack Engineer - Remote & Cloud-Native

Capital One; Santa Fe (NM); Remote; USD 209,000 - 239,000; Full time

Job summary

Capital One seeks a Senior Full-stack Software Engineer to lead a portfolio of projects across distributed microservices and full-stack systems. You will mentor engineers, stay ahead of tech trends, and collaborate with product managers to deliver scalable cloud-based solutions that empower millions of Americans.

The role requires strong programming experience across Java, JavaScript/TypeScript, Python, and other modern languages, with deep knowledge of Docker, Kubernetes, and AWS ecosystems.

Qualifications

• Bachelor's degree or higher in a quantitative field such as Computer Science, Statistics, or Engineering.
• 6+ years of software engineering experience (internships excluded).
• 3+ years of experience with public cloud platforms (AWS, GCP, Azure).
• Experience with distributed microservices and full-stack systems.

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers in distributed microservices and full-stack systems.
• Mentor engineers, stay current with tech trends, and participate in internal/external tech communities.
• Collaborate with product managers to deliver cloud-based solutions that empower users.

Skills

Go

Java

JavaScript/TypeScript

Python

Rust

C#

Scala

Education

Bachelor's degree in Computer Science or related field

Master’s Degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

GCP

Azure

SQL/NoSQL databases

CI/CD pipelines

Infrastructure as Code

Job description

Capital One seeks a Senior Full-stack Software Engineer to lead a portfolio of projects across distributed microservices and full-stack systems. You will mentor engineers, stay ahead of tech trends, and collaborate with product managers to deliver scalable cloud-based solutions that empower millions of Americans.

The role requires strong programming experience across Java, JavaScript/TypeScript, Python, and other modern languages, with deep knowledge of Docker, Kubernetes, and AWS ecosystems.