Distinguished Engineer (Decisioning Platform)

Capital One Financial Corporation
Richmond, VA, United States
11 days ago
Apply on www.capitalonecareers.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$269,100.0 - $307,200.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Fraud Prevention and Detection Python (Programming Language) Systems Development Life Cycle Reliability Engineering Software Engineering Google Cloud Backend Containerization
+3 more
Information Technology Software Coding Golang

Job description

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., * 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

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), * 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

Benefits & conditions

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: $269,100 - $307,200 for Distinguished Engineer

New York, NY: $293,600 - $335,100 for Distinguished Engineer

Richmond, VA: $244,700 - $279,200 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.

About the company

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).

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.capitalonecareers.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:25 min

Engineering career path from embedded systems to banking

John Woods John Woods · LIVE

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab · LIVE

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

6:16 min

Event-driven Golang backend architecture and cloud deployment

Irina Branovic Irina Branovic · World Congress 2026 Europe

Videos

See all

Related articles

See all