Lead Software Engineer, Back End (test Automation, Python, Aws)

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

Lead Software Engineer focused on back-end test automation using Python and AWS. The role involves designing and executing automated testing capabilities for credit card technology applications, partnering with engineers and product owners, and managing test execution across various teams and vendors. The goal is to elevate testing maturity and best practices.

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)

Nice to have

  • Master's Degree
  • 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
  • 3+ years of experience in functional end-to-end testing, system testing, batch processing, user acceptance testing, regression, and test automation using tools such as Playwright, Cypress, Selenium, or another test automation tool
  • 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

  • strong Software Engineering skills
  • design, execute, and extend automated testing capabilities
  • partner closely with Engineers and Product Owners
  • manage test execution between external partners, third-party vendors, and internal teams
  • continuously elevate testing maturity and best practices