Director, Distinguished Engineer; Card TECH

Director, Distinguished Engineer (Card TECH)

As a Distinguished Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud.

You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels to optimize business outcomes while pursuing strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next‑generation talent, mentoring internal talent and actively recruiting to keep building our community.

In this role you will work with our Platform Engineering organization to provide AI‑enabled tools for pipeline optimization and deterministic transformation capabilities that dramatically improve developer workflow, quality, and reliability.

• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical and operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on non‑functional system characteristics such as performance, scalability and operability
• Continue learning and injecting advanced technical knowledge into our community
• Handle several projects simultaneously, balancing your time to maximize impact
• Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering and automation best practices
• Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle
• Decompose complex problems in CI/CD friction and technical debt into practical, operational, and scalable platform solutions
• Lead the productionization of capabilities that optimize the inner and outer loop and enable shift‑left practices
• Drive innovation by experimenting with and delivering capabilities that utilize deterministic code transformation and AI/ML for engineering workflows (e.g., intelligent test selection)

• Bachelor’s Degree in Computer Science or a related field
• At least 10 years of experience in Software Engineering and Solution Architecture for large‑scale distributed systems
• At least 5 years of professional experience leveraging public cloud platforms such as AWS, Microsoft Azure or Google Cloud
• At least 5 years of professional experience writing and delivering proofs of concept for novel technologies or architectural patterns
• At least 5 years of experience with Infrastructure as Code using tools such as AWS CDK or Cloud Formation
• At least 5 years of professional experience driving the adoption of enterprise‑level design patterns and best practices for software quality and reliability
• At least 5 years of hands‑on experience coding in two or more of the following languages:
  Java, JavaScript, Python or Go

• Master’s Degree in Computer Science or a related field
• 10+ years of professional experience in the full lifecycle of system development
• 10+ years of professional experience coding in languages such as Java, Python, Go or Java Script
• 5+ years of experience designing and implementing CI/CD pipelines at scale using tools such as Jenkins, Git Hub Actions or Tekton
• Expertise with Policy‑as‑Code technologies such as Open Policy Agent
• Experience with Abstract Syntax Trees, static analysis tools or other programmatic code manipulation for automated refactoring
• Experience in MLOps or applying artificial intelligence or machine learning concepts to engineering challenges
• Deep practical knowledge of site reliability engineering principles, chaos engineering and advanced observability tooling such as Open…