Greenfield Full-Stack Engineer — Remote

Capital One Group; Salem (OR); Remote; USD 179,000 - 205,000; Full time

Job summary

Capital One Shopping is seeking a Full-stack Engineer 4 to join the Categories tower. You will own greenfield products from inception to deployment, building scalable microservices and backend architecture in a fast-paced, collaborative environment.

You'll partner with Product Managers, work across JS/TS, Python/Go, and cloud-native tech on AWS, Docker/Kubernetes, and data pipelines handling billions of items. Remote-friendly with opportunities to grow and mentor others.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in software engineering
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure)

Responsibilities

• Own and Build 0 → 1 Greenfield Products: Take technical ownership of brand-new, greenfield product spaces from inception to deployment.
• Master Complex Scale: Work across diverse platforms and stacks with emphasis on robust backend architecture.
• Partner & Ideate: Collaborate with Product Managers to define technical strategy and own your domain.
• Mentor & Code: Lead architecture discussions, code reviews, and hands-on coding.
• Leverage Modern Tech: Use TypeScript/JavaScript/SQL/Python/Go with AWS, Docker, Kubernetes, and cloud-native tools.

Skills

JavaScript/TypeScript

Python

SQL

Go

Docker

Kubernetes

AWS

Git

Education

Bachelor's degree in Computer Science or related field

Tools

Open Source RDBMS

NoSQL databases

Container Orchestration

VM/Virt/Cloud tooling

Job description

Capital One Shopping is seeking a Full-stack Engineer 4 to join the Categories tower. You will own greenfield products from inception to deployment, building scalable microservices and backend architecture in a fast-paced, collaborative environment.

You'll partner with Product Managers, work across JS/TS, Python/Go, and cloud-native tech on AWS, Docker/Kubernetes, and data pipelines handling billions of items. Remote-friendly with opportunities to grow and mentor others.