Senior Manager, Software Engineering - Artificial Intelligence

Capital One Capital One · Banking · McLean, VA

Senior Manager, Software Engineering role at Capital One focused on Artificial Intelligence, leading technology projects and a team of developers. The role involves creating cloud-based solutions, collaborating with product managers, and utilizing various programming languages and cloud services. Requires significant people management and software engineering experience, with a preference for Gen AI and cloud platform experience.

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 Angular, Python, JavaScript, Java, Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS & GCP tools and services

Skills

Required

  • Bachelor's Degree
  • 6 years of experience in software engineering
  • 1 year 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: Angular, Node JS, Python, JavaScript, Java, TypeScript, SQL, or Go
  • 2+ years of experience in Gen AI
  • 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
  • 4+ years of experience in open source frameworks and Serverless
  • 7+ years of people management experience
  • 2+years SQL, Snowflake and data analytics
  • 2+ years of experience in Agile practices

What the JD emphasized

  • meet regulatory needs
  • Gen AI

Other signals

  • Gen AI experience
  • cloud computing
  • software engineering leadership