Distinguished Engineer (Decisioning Platform)

Capital One•McLean, VA

21h

About The Position

Capital One’s Card Decisioning Platform team is responsible to enable our business to manage risk and drive business value across the customer lifecycle by providing real-time, accurate , secure and AI powered decision-making solutions for customer transactions, fraud detection, alerts, credit inquiries and applications across card, lending and banking products. In this role, you will work with our decisioning platform squads to provide architectural guidance and technical leadership to help build the destination workflow orchestration for capital one. You will be a thought leader in this space to ensure we are building a world class platform that is scalable, resilient, multi-tenant and can support a variety of use cases in a frictionless manner catering to business users, engineers and analysts needs You will work with other Distinguished Engineers, Engineering leaders and Product partners to detail out design solutions and work closely with Software engineers to develop and engineer the products as envisioned by creating POCs, working with spec and code. Most of your time will be spent on writing code, reviewing PRs, and delivering code at a faster pace. You will be responsible to help the teams with setting up the best in the industry engineering culture and developer experience while also helping to remove technical impediments faced by your teams.. Additionally, you will provide mentorship and strategic guidance to our engineer, product, and leadership groups. 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
At least 7 years of experience as hands on full stack or backend technologist
At least 5 years of professional experience coding in commonly used languages like Java, Python, Go
At least 5 years of experience in software engineering, architecture, solution architecture, site reliability engineering
At least 3 years of experience in cloud native technologies (AWS, Microsoft Azure, Google Cloud)

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, from conception through architecture, implementation, testing, deployment and production support
8+ years of experience in designing large scale and resilient applications
3+ years of experience with solutioning a large scale platform
Familiarity with AI agents, agent orchestration and architecture

Responsibilities

Articulate and evangelize a bold technical vision for your area of responsibility
Decompose complex problems into practical and operational solutions by willing to write code and create low level designs
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability, observability 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
Ability to apply the right level of judgement on delegation of work to mentor individual contributors and thereby help to mentor and coach next generation of distinguished engineers