Senior Director, Software Engineering, Card Architecture

Capital One Financial

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Quick summary

Work type
On-site
Location
New York, NY
Employment
Full-time
Posted
90 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $239k
$170k $298k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $195,000–$282,150.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Director, Software Engineering, Card Architecture

The Senior Director, Software Engineering - Card Architecture joins a high-velocity team to redefine software development speed and quality. Operating as a player-coach, you will lead, mentor, and grow a team of engineers while remaining hands-on to ship production-ready code. Your daily responsibilities include incubating AI-native workflows, conducting design and code reviews, and collaborating with product teams to transform intent into functional reality through rigorous, spec-driven design. You will utilize agentic development tools, LLMs, and specific coding assistants like Claude, Windsurf, and Copilot. The role requires expertise in cloud-based data platforms including Amazon Web Services, Microsoft Azure, and Google Cloud Platform. You will solve complex technical problems by ensuring AI-generated output is flawless, secure, and scalable while bridging the gap between intent and execution.

What you'll do

  • Ship production-ready code and solve complex technical problems as a hands-on "Player-Coach."
  • Lead and mentor a high-velocity engineering team to adopt AI-native development workflows.
  • Leverage LLMs and agentic tools to increase software development speed and output quality.
  • Translate complex architectures into actionable technical specifications and rigorous designs.
  • Audit and review AI-generated code to ensure it meets world-class standards for security and integrity.
  • Partner with stakeholders to ensure AI-generated architectures flawlessly match the original product intent.
  • Design and support technical solutions within Agile cycles to eliminate technical debt and hallucinations.

What we're looking for

  • At least 9 years of experience in software engineering or data engineering
  • At least 7 years of people management experience
  • At least 3 years of experience with cloud-based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
  • Master’s Degree (preferred)
  • 10+ years of experience in software engineering or data engineering (preferred)
  • 2+ years of experience with LLM coding assistance tools such as Claude, Windsurf, Copilot or comparable tools (preferred)
  • 3+ years of experience with AWS (preferred)

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