Sr Lead Software Engineer, Analytics - Shopping (remote-eligible)

Capital One Capital One · Banking · McLean, VA +1 · Remote

Lead Software Engineer for Capital One Shopping, focusing on analytics and full-stack development. The role involves leading technology projects, mentoring developers, collaborating with product managers to build cloud-based solutions, and utilizing various programming languages and AWS services. The position emphasizes solving complex business problems and meeting regulatory needs within a fast-paced environment.

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)

Nice to have

  • Master's Degree
  • 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
  • 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
  • 4+ years of experience in open source frameworks
  • Experience owning and supporting mission critical applications and platforms
  • Experience with Kafka and Streaming technologies and platforms
  • Experience with Enterprise Data technologies and platforms
  • Experience working with extremely large traffic and data volumes
  • 2+ years of experience in Agile practices

What the JD emphasized

  • meet regulatory needs