Lead Software Engineer (AWS, Python, Java, React, Generative AI APIs)
Capital One · Richmond, VA · 1 wk ago
Engineering$197k–$225k/yrFull-time
Overview
In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.
What You’ll Do
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications
- Bachelor’s Degree
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications
- Master's Degree
- 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
- 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
- 4+ years of experience in open source frameworks
- 1+ years of people management experience
- 2+ years of experience in Agile practices
- Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion