Director, Distinguished Engineer (Card TECH)

Capital One•Mclean, VA

26d

About The Position

As a Distinguished Engineer at Capital One, you will be a 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, helping optimize business outcomes while driving towards 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 for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. 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. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

Requirements

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 (POCs) for novel technologies or architectural patterns
At least 5 years of experience with Infrastructure as Code (IaC) using tools such as AWS CDK or CloudFormation.
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 professional experience coding in two or more of the following languages: Java, JavaScript, Python, or Go.

Nice To Haves

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 like Java, Python, Go, or JavaScript.
5+ years of experience designing and implementing CI/CD pipelines at scale using tools like Jenkins, GitHub Actions, or Tekton.
Expertise with Policy-as-Code (PaC) technologies such as Open Policy Agent (OPA).
Experience with Abstract Syntax Trees (ASTs), static analysis tools, or other forms of programmatic code manipulation for automated refactoring.
Experience in MLOps or applying Artifical Intelligence or Machine Learning concepts to engineering challenges (e.g., anomaly detection, test optimization, intelligent testing).
Deep practical knowledge of Site Reliability Engineering (SRE) principles, chaos engineering, and advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing).

Responsibilities

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, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
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 (CI/CD, deployment, and testing) and enable Shift-Left practices.
Serve as an authoritative expert on non-functional system characteristics, particularly performance, scalability, and observability of the engineering toolchain itself.
Drive innovation by experimenting with and delivering capabilities that utilize Deterministic Code Transformation and AI/ML for engineering workflows (e.g., Intelligent Test Selection).
Act as a role model and mentor within the tech community, coaching teams on modern reliability, platform engineering, and automation best practices.