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Capital One

Distinguished Engineer - Fraud Tech

Posted 4 Hours Ago
Be an Early Applicant
Hybrid
3 Locations
240K-329K Annually
Senior level
Hybrid
3 Locations
240K-329K Annually
Senior level
As a Distinguished Engineer, you will design cloud native solutions, lead fraud defense strategies, and mentor engineers at Capital One while collaborating with cross-functional teams.
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Distinguished Engineer - Fraud Tech
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 w e are looking for a Distinguished Engineer who will lead our Fraud defenses and user experiences. You will partner with engineers, product and business stakeholders across the Card Fraud domain and build scalable & resilient solutions that leverage modern tech and design patterns. As part of this role, you will play a key role in standardizing capabilities to enable intelligent decision making that support us to respond to emerging threats swiftly. You would help define the vision for integrated defenses powered by common capabilities. You will work on designing cloud native solutions and will have the opportunity to work on emerging technologies such as: AWS, Java, Python, GO, REST, databases and pipelines.
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 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
  • Explore new cloud technologies and identify applications to leverage their potential
  • Develop patterns for cloud to enable emerging business initiatives
  • Collaborate with tech leaders to drive tech strategy
  • Evangelize cloud strategy, solutions and best practices across the enterprise

Basic Qualifications:
  • Bachelor's Degree
  • At least 7 years of experience with solution architecture or software engineering
  • At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems

Preferred Qualifications:
  • Master's Degree in Computer Science or a Master's Degree in Software Engineering
  • 10+ years of experience of working with business leaders on the implications of architectural decisions
  • 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure)

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.
McLean, VA: $263,900 - $301,200 for Distinguished Engineer
New York, NY: $287,800 - $328,500 for Distinguished Engineer
Richmond, VA: $239,900 - $273,800 for Distinguished Engineer
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.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
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.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Top Skills

AWS
Databases
Go
Java
Pipelines
Python
Rest

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