Senior Lead Software Engineer, Full Stack - Shopping (Remote Eligible)

Capital One is a financial services company focused on technology-driven customer experiences and financial empowerment. The Senior Lead Software Engineer will lead technology projects and a development team while building full-stack, cloud-based solutions for Capital One Shopping. The role involves working with distributed microservices, modern programming languages, databases, container orchestration, and AWS services, while mentoring engineers and guiding technology innovation.

Responsibilities:

• 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, and from time to time, be asked to code or evaluate code
• 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

Requirements:

• Bachelor's Degree
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
• Master's Degree
• 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
• 4+ 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