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.

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.

Our Mission in Risk Technology

We establish the foundational technology that allows Capital One to operate successfully in an uncertain environment. Our team is intelligent, engaged, and empowered, working together to deliver exceptional products that advance our shared goal: revolutionizing risk management through technology. We develop advanced, data-driven tools that leverage machine learning and AI capabilities to proactively prevent risks and automatically identify potential issues before they can harm our business, customers, or communities.

Your Impact in This Role

You will partner directly with the Anti-Money Laundering & Sanctions teams to architect intelligent, real-time risk management products, heavily utilizing cutting-edge technologies like Artificial Intelligence. Your responsibilities extend beyond merely executing on a set roadmap; you will be a visionary strategist. You will define and introduce modern technologies to solve critical problems, including those our stakeholders haven't yet envisioned. This is a hands-on technical role. You are expected to dive deep into the codebase, write high-quality production code, actively participate in complex system design reviews, and mentor engineers through practical, on-the-ground technical leadership.

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.

Key responsibilities:

• Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle

• 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

• Ensure Code is of the highest quality & standard while being an active contributor and reviewer on critical repos of the application

• Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems that balance simplicity with flexibility

Capital One is open to hiring a Remote Employee for this opportunity.

• Bachelor’s Degree

• At least 7 years of experience in Software engineering and solution architecture

• At least 7 years of experience in Enterprise architecture and design patterns

• At least 5 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)

• At least 5 years of experience in Data architecture including Event Driven and Real-Time architectures

• Bachelors' or Master's Degree in Computer Science or a related field

• 10+ years of experience in Software Engineering and solution architecture

• 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.

• 8+  years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support

• Experience in applying Artificial 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)

• Experience in implementing Artificial Intelligence or Artificial Intelligence-enabled solutions

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.