Sr. Manager, Software Engineering, Back End (enterprise Platforms Technlogy)

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

This role is for a Sr. Manager of Software Engineering, Back End, focusing on Enterprise Platforms Technology within Capital One. The position involves leading a team of developers to create cloud-based solutions, manage technology projects, and collaborate with product managers to meet regulatory needs and drive customer experiences in the financial sector. While AI/Gen AI is mentioned as a preferred qualification for marketing use cases, the core of the role is in traditional software engineering management and delivery.

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 Java, Python, SQL, Node, Go, and Scala, 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 professional software engineering experience
  • 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: Java, Scala, Python, Go, or Node.js
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 4+ years of experience in open source frameworks
  • 5+ years of experience in Salesforce Marketing Cloud
  • 5+ years of experience across Marketing Tech platforms for audience segmentation, experimentation, personalization, journeys and decisioning
  • 3+ years of experience in implementing AI and Gen AI for Marketing use cases
  • 7+ years of people management experience
  • 2+ years of experience in Agile practices

What the JD emphasized

  • meet regulatory needs