Lead Software Engineer, Full Stack( Cloud Operations Resilience Engineering)

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

Lead Software Engineer for Capital One's Cloud Operations Resilience Engineering (CORE) division, focusing on foundational cloud infrastructure, observability, connectivity, resilience, and availability. The role involves leading technology projects, managing a team of developers, and collaborating with product managers to deliver robust cloud-based solutions. Requires experience with distributed microservices, full-stack systems, and various cloud technologies (AWS, Kubernetes, Docker).

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: Python, React, JavaScript,, TypeScript, SQL, and Go
  • 3+ years of experience with AWS
  • 3+ years of experience in open source frameworks and serverless
  • 3 + 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

  • regulatory needs