Lead Software Engineer, Full Stack (Risk Tech, Intelligent Foundations & Experiences)
Capital One
Lead Software Engineer, Full Stack (Risk Tech, Intelligent Foundations & Experiences) 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, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do:
- Drive major transformation integrating risk management stack with enterprise GenAI layer. You will be instrumental in architecting how we lean into LLM-driven capabilities to build systems used by frontline risk managers
- 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
- Bachelor's Degree
- At least 4 years of professional software engineering experience (Internship experience does not apply)
- At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
- 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, Google Cloud Platform, 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
- Hands-on experience leveraging large language models (LLMs) and interactive AI tooling for semantic validation or automated decision support
- Hands-on experience leveraging spec driven development
Vacancy posted more than 2 months ago
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