Lead Software Engineer, Full Stack (risk Tech)

Capital One Capital One · Banking · Richmond, VA +1

Lead Software Engineer, Full Stack (Risk Tech) at Capital One. This role focuses on building and pioneering technology solutions within the Risk Tech division, which manages risk and ensures compliance with regulations. The engineer will lead projects, mentor developers, and collaborate on cloud-based solutions, utilizing various programming languages and AWS services. The role emphasizes experience in software engineering, cloud computing, and potentially people management, with a mention of leveraging interactive AI tooling for productivity.

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
  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
  • 4 years of experience in software engineering
  • 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Nice to have

  • Master's Degree
  • 7+ years of experience in at least one of the following: NodeJS, Angular or React
  • 3+ years of experience with AWS, GCP, Microsoft 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 for the company
  • strict compliance with BSA/AML regulations and global laws