Senior Manager, Software Engineering, Full Stack (enterprise Platform Technology)

Capital One Capital One · Banking · McLean, VA +2

Senior Manager, Software Engineering for Enterprise Platform Technology at Capital One, leading a team to own and evolve a content management system towards agentic, AI-native workflows. Focuses on full-stack development, microservices, cloud solutions, and integrating AI tooling to improve productivity and meet regulatory needs.

What you'd actually do

  1. 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
  2. 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
  3. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  4. 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

Skills

Required

  • Bachelor's Degree
  • 6 years of experience in software engineering
  • 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • 4 years of people management experience

Nice to have

  • Master's Degree
  • 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
  • 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
  • 4+ years of experience in open source frameworks
  • 7+ 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

What the JD emphasized

  • agentic, AI-native content workflows
  • meet regulatory needs