Distinguished Engineer
Listed on 2026-01-27
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IT/Tech
AI Engineer, Cloud Computing, Systems Engineer, Data Engineer
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.
This role is part of the Risk Technology organization. In Risk Technology, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities.
In this role you will work with the Credit & Financial Risk Management teams to create real-time and intelligent risk management products that are powered by some of the advanced technology (such as Artificial Intelligence). In this role, you won't just execute a roadmap, you will be a strategist defining which modern technologies will solve problems our stakeholders haven’t even imagined yet.
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
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 Security engineering and architecture
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…
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