Lead Software Engineer, Backend (java, Scala, Aws)

Capital One Capital One · Banking · New York, NY +1

Lead Software Engineer for Capital One's Travel App Platform Team, focusing on building and maintaining the shared architecture and services for travel products. Requires strong Scala/Java expertise, experience with distributed systems, and collaboration skills to drive platform direction and adoption.

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
  • 4 years of professional software engineering experience
  • 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • Scala
  • Java
  • distributed microservices
  • full stack systems
  • cloud-based solutions
  • AWS tools and services
  • Docker
  • Kubernetes

Nice to have

  • Master's Degree
  • 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
  • 2+ years of experience with AWS, GCP, Azure, or another cloud service
  • 4+ years of experience in open source frameworks
  • 1+ 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

  • meet regulatory needs