Senior Manager, Full-stack Engineer - Finance Tech, AI Powered Platforms

Senior Manager, Full-stack Engineer - Finance Tech, AI Powered Platforms

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 Engineering leaders who are passionate about building high-performing teams, driving technical strategy and leveraging cutting-edge open-source frameworks alongside emerging technologies. In this role, you’ll be at the forefront of mentoring engineering talent and leading major technology transformations across Capital One.

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, 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
• Lead teams utilizing programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
• Lead multiple Agile engineering teams or programs, providing strategic direction and ensuring delivery of large-scale, cross-functional initiatives
• Partner with product, architecture, and platform leaders to define multi-year technology roadmaps and investment priorities
• Develop and manage Lead Engineers and leads, building succession plans and scaling leadership capability across teams
• Drive alignment between engineering execution and enterprise goals, influencing portfolio-level decisions and trade-offs
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements

Basic Qualifications:

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies