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

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

This role is for a Senior Manager of Software Engineering focused on an AI-powered marketing campaign platform. The platform uses natural language to orchestrate the full campaign lifecycle, including audience definition, content generation, compliance review, experimentation, and dispatch. The role involves leading a team, collaborating with product managers, and delivering cloud-based solutions. Experience with LLM-based application development is preferred.

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 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: Python, JavaScript, Java, TypeScript, SQL, 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
  • 1+ years of experience with LLM-based application development (prompt engineering, tool/function calling, agent orchestration, structured outputs)
  • 1+ years of experience in marketing technology, campaign management, or related domains (ESP, CDP, CMS/DAM, experimentation platforms, contact policy / frequency management)
  • 1+ years of experience with event-driven architectures, event sourcing, and the operational patterns (replay, projection rebuilds, schema evolution)
  • 1+ years of experience hiring and scaling engineering teams from scratch in a new problem space, including building interview processes and onboarding programs

What the JD emphasized

  • AI-powered system
  • natural language
  • orchestrates the full lifecycle
  • LLM-based application development
  • prompt engineering
  • tool/function calling
  • agent orchestration
  • structured outputs

Other signals

  • AI-powered system
  • natural language
  • orchestrates the full lifecycle
  • LLM-based application development