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Lead Software Engineer, Messaging Dispatch

United States, McLean, Virginia Employment contract · Job Posted June 10, 2026
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Job Description

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking a highly skilled and visionary Lead Back End Software Engineer who is passionate about Artificial Intelligence, Machine Learning, and building intelligent solutions with emerging technologies. As a Capital One Lead, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Job Responsibility

  • Lead a portfolio of diverse technology projects and guide a team of developers with deep experience in distributed microservices and full stack systems to create solutions
  • Collaborate with digital product managers to design and deliver robust cloud-based solutions that drive powerful, personalized experiences to help millions of Americans achieve financial empowerment
  • Direct the design, development, testing, and implementation of technical solutions using AI technologies, large language models (LLMs), and cloud infrastructure, ensuring sound data design practices are applied
  • Leverage a diverse technical stack including Java, JavaScript, Python, and Go, alongside modern cloud infrastructure, and advanced AWS ecosystems to deliver high-performance software solutions
  • Champion the growth of our engineering community through active mentorship, while driving excellence in delivery by conducting rigorous code reviews to ensure technical solutions are performant and maintainable

Requirements

  • Bachelor's Degree
  • At least 4 years of professional software engineering experience (Internship experience does not apply)
  • At least 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, JavaScript, Python, Go, TypeScript, or SQL
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 4+ years of experience working with various open source frameworks
  • 4+ years of experience leading technical direction and executing large scale projects across multiple engineering teams
  • 2+ years of experience in Agile practices
  • 1+ years of experience working with big data ETL using Dataflow, AWS Glue or Databricks
  • 1+ years of experience utilizing Generative AI coding tools and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity
  • 1+ years of experience in prompt engineering or developing features enhanced by Artificial Intelligence
  • Experience utilizing advanced AI tooling and LLM capabilities to drive engineering productivity and innovation

What we offer

  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits

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