Sr. Manager, Full-stack Engineer (Java, Python, Docker, AI) (Enterprise Platforms Technology)

About the role

Sr. Manager, Full-stack Engineer (Java, Python, Docker, AI) (Enterprise Platforms Technology)

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.

EPTech’s Developer Experience team focuses on delivering a fully integrated developer tool ecosystem that is intuitive, easy to use, provides a guided experience and keeps developers in a state of flow.

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