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Capital One Logo Capital One · IT - Software Development

Director, Software Engineer - Card Tech AI

United States, San Francisco Employment contract 244700.00 - 335100.00 USD / Year · Job Posted May 04, 2026
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Job Description

We are seeking a Director of Software Engineering to join our team and fundamentally redefine the speed and quality of software development. We are a high-velocity, mission-driven group obsessed with bridging the gap between Intent and Execution (I=E). In this role, you won't just manage; you will operate as a "Player-Coach," functioning both as a high-leverage developer who ships production-ready code in hours as well as mentoring a team to become elite AI-native builders. You will own the technical benchmark, leveraging agentic development tools to its absolute limits through rigorous, spec-driven design to solve complex problems with unprecedented urgency.

Job Responsibility

  • Lead, mentor, and grow a high-velocity team of engineers, fostering a culture of AI adoption and rapid execution
  • Embrace and incubate AI-native workflows, leveraging Claude and LLMs to fundamentally change the math on development speed
  • Operate as a "Player-Coach," remaining deeply hands-on to ship production-ready code and solve complex technical problems
  • Collaborate with product teams to transform intent into functional reality using rigorous, spec-driven design
  • Partner with stakeholders to explain AI-generated architectures, ensuring the final product matches initial intent flawlessly
  • Work within Agile cycles to design, audit, and support technical solutions, serving as the ultimate fail-safe for AI output
  • Lead efforts to bridge I=E (Intent = Execution), guaranteeing high-leverage output without technical debt or hallucinations
  • Conduct design and code reviews to ensure AI-generated code meets world-class standards for quality and integrity

Requirements

  • Bachelor’s Degree
  • At least 7 years’ experience in software development
  • At least 5 years’ experience in people management
  • At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform)

Nice to have

  • Master’s Degree
  • 7+ years of experience in software engineering or data engineering
  • 1+ years of experience with LLM coding assistance tools such as Claude, Windsurf, Copilot or comparable tools
  • 3+ years of experience with AWS

What we offer

  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • health, financial and other benefits
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