Distinguished Engineer, Full Stack (Remote Eligible)

Posted Yesterday
Be an Early Applicant
4 Locations
Remote or Hybrid
245K-335K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Change everything. Starting with your career.
The Role
Lead technical vision and architecture for finance-focused platforms, driving AI-native engineering, ML lifecycle delivery, distributed HPC, and full-stack solutions. Mentor engineers, build proofs-of-concept for LLM/AI systems, champion AIOps for reliability, and collaborate across finance and product teams to raise engineering standards.
Summary Generated by Built In
Distinguished Engineer, Full Stack (Remote Eligible)
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, AI/ML experts, data analysts, 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, you will work with our Capital Markets and Financial Planning Technology teams as well as the broader Finance Technology Distinguished Engineer community to drive architectural excellence, establish AI-native engineering standards, and deliver the next generation of liquidity management, predictive analytics and financial planning infrastructure that powers Capital One's most consequential financial decisions.
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
  • Lead proof-of-concept development for emerging AI frameworks and architectural patterns
  • Collaborate with other Finance Technology towers reviewing architectures and designs outside your immediate domain and contributing a cross-cutting perspective that raises the bar org-wide
  • Champion AIOps practices - driving platform reliability through AI-assisted anomaly detection, automated remediation, and predictive alerting across the portfolio

Basic Qualifications:
  • Bachelor's Degree
  • At least 7 years of experience in the following:
    • Software engineering and solution architecture
    • Enterprise architecture and design patterns
    • Designing and building distributed HPC and ML systems
    • Full ML development lifecycle using AI and ML frameworks
    • Cloud computing (AWS, Microsoft Azure, Google Cloud)
    • Data engineering

Preferred Qualifications:
  • Bachelor's or Master's in Computer Science, Applied Mathematics, or a related technical field
  • 10+ years of experience in one or more of: software engineering and solution architecture, enterprise architecture and design patterns, distributed HPC and ML systems, ML development lifecycle, cloud computing, or data architecture
  • 10+ years of hands-on coding in commonly used languages Python, Java, Go, Scala, JavaScript/TypeScript, or similar; you are a working engineer, not a former engineer
  • 8+ years owning the full SDLC , conception through architecture, implementation, testing, deployment, and production support; you have been paged and you have fixed it
  • Demonstrated AI-native engineering practice across all three layers:
    • Daily use of AI coding assistants to accelerate productivity, utilizing capabilities well beyond basic code completion
    • Spec/intent driven development
    • AI embedded in CI/CD and SDLC tooling - test generation, spec validation, code review augmentation
    • Production experience building LLM-backed or agentic systems - prompt engineering, evaluation frameworks, observability, and guardrails included
  • Experience working directly with quantitative analysts or data scientists - model development lifecycles, feature pipelines, backtesting, ML deployment, and the rigor to validate what a model is actually doing

Capital One is open to hiring a Remote Employee for this opportunity.
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.
Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer
Cambridge, MA: $269,100 - $307,200 for Distinguished Engineer
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.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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).

Skills Required

  • Bachelor's Degree
  • 7+ years software engineering and solution architecture experience
  • 7+ years enterprise architecture and design patterns experience
  • 7+ years designing and building distributed HPC and ML systems
  • 7+ years full ML development lifecycle using AI and ML frameworks
  • 7+ years cloud computing experience (AWS, Microsoft Azure, Google Cloud)
  • 7+ years data engineering experience
  • Master's or Bachelor's in Computer Science, Applied Mathematics, or related (preferred)
  • 10+ years experience in software engineering, solution architecture, distributed HPC/ML systems, ML lifecycle, cloud computing, or data architecture (preferred)
  • 10+ years hands-on coding in Python, Java, Go, Scala, JavaScript/TypeScript or similar (preferred)
  • 8+ years owning the full SDLC from conception through production support (preferred)
  • Demonstrated AI-native engineering practice (AI coding assistants, spec-driven development, AI in CI/CD) (preferred)
  • Production experience building LLM-backed or agentic systems including prompt engineering, evaluation, observability, and guardrails (preferred)
  • Experience working with quantitative analysts or data scientists on model lifecycles and ML deployment (preferred)

What the Team is Saying

Ryan Page
Kristen Cornelsen
Natalia Bachmann
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The Company
HQ: McLean, VA
55,000 Employees
Year Founded: 1994

What We Do

At Capital One, we think and work like a tech company, using our digital fluency to transform everything about the customer experience. We’re bending data to our will, and turning a stodgy industry on its head. That’s reflected in our ranking as the number one business technology innovator in the U.S. in the 2016 InformationWeek Elite 100.

Why Work With Us

Here’s another question: What are you looking for? A place where curiosity is the starting point? Where data leads to human insights? Where humanity drives product development? We’re bringing breakthrough products and services to consumers, small businesses, and commercial clients. And each new idea makes life better for millions of people.

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About our Teams

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Employees engage in a combination of remote and on-site work.

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