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

Capital One · Flexible / Remote

Publicada em 22/07/2026

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Sr Lead Software Engineer, Full Stack (AI) - Shopping (Remote-Eligible)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking a Senior Lead Software Engineer who is passionate about marrying data with emerging technologies. As a full stack engineer focusing on AI, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One Shopping.What You'll Do: Be a hands-on leader driving the development of next-generation AI solutions for the future of shopping.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 empowermentUtilize programming languages like JavaScript, 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 DegreeAt 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) Preferred Qualifications: Expert-level proficiency in MCP, AI Tooling, and/or LLMsStartup experience with a history of shipping products at high speed. 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service4+ years
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