Posted Date
6/17/2025
Description
Senior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible)
As a Senior 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 Senior 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.
Senior 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.
The Customer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One’s consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles.
We are looking for a Senior Distinguished Engineer to define, architect, and lead the development of Experimentation & Feature Management platform. In this role, you’ll drive the technical direction for experimentation systems powering AI-driven adaptive A/B experiments, and feature management and configuration systems for controlled and monitored feature deployment. This will enable high-velocity experimentation-driven product innovation, intelligent feature rollouts, and trustworthy insights at scale.
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
• Define and lead the technical strategy and roadmap for the experimentation and feature flagging platform, ensuring it enables safe, scalable experimentation across web, mobile, and backend systems.
• Architect an extensible experimentation platform and analysis infrastructure built on a contribution-based metrics framework. One that supports advanced methodologies of sequential testing with contextual multi-arm bandits and ML techniques that blend personalization with experimentation for AI-accelerate experiment outcomes.
• Build robust APIs and platform services that power real-time experimentation and feature management — enabling progressive rollouts, dynamic targeting, and seamless integration with product surfaces, backend systems, and observability tooling across the company.
• Design and deliver secure, low-latency systems capable of executing high-volume experiments and real-time feature evaluations, ensuring operational excellence and product velocity.
• Partner with Data Science, ML, and Infrastructure teams to evolve statistical methodologies, improve experiment efficiency, and incorporate advanced causal inference and targeting techniques.
• Advance engineering standards and operational excellence through rigorous testing, continuous delivery pipelines, and robust monitoring frameworks.
• Provide technical leadership across the organization, mentoring engineers, influencing experimentation strategy, and driving cross-functional alignment on platform adoption and best practices to build and scale experimentation-driven product engineering

BASIC QUALIFICATIONS:

• Bachelor’s Degree
• At least 9 years of experience in software engineering and solution architecture
• At least 2 years of AWS, GCP, or Azure experience

PREFERRED QUALIFICATIONS:

• Bachelor’s or Master’s Degree in Computer Science or a related field
• 10+ years of experience with feature flagging systems
• 7+ years of experience building large-scale experimentation platforms, including A/B testing systems, feature flagging frameworks, or experiment analysis tools.
• 10+ years of experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.
• 10+ years of experience big data tools and streaming systems
  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): $280,600 - $320,200 for Sr Distinguished Engineer
  McLean, VA: $308,700 - $352,300 for Sr Distinguished Engineer
  New York, NY: $336,700 - $384,200 for Sr Distinguished Engineer
  Plano, TX: $280,600 - $320,200 for Sr Distinguished Engineer
  Richmond, VA: $280,600 - $320,200 for Sr Distinguished Engineer
  San Jose, CA: $336,700 - $384,200 for Sr 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com
  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).
  Senior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible)
  As a Senior 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 Senior 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.
  Senior 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.
  The Customer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One’s consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles.
  We are looking for a Senior Distinguished Engineer to define, architect, and lead the development of Experimentation & Feature Management platform. In this role, you’ll drive the technical direction for experimentation systems powering AI-driven adaptive A/B experiments, and feature management and configuration systems for controlled and monitored feature deployment. This will enable high-velocity experimentation-driven product innovation, intelligent feature rollouts, and trustworthy insights at scale.
  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
• Define and lead the technical strategy and roadmap for the experimentation and feature flagging platform, ensuring it enables safe, scalable experimentation across web, mobile, and backend systems.
• Architect an extensible experimentation platform and analysis infrastructure built on a contribution-based metrics framework. One that supports advanced methodologies of sequential testing with contextual multi-arm bandits and ML techniques that blend personalization with experimentation for AI-accelerate experiment outcomes.
• Build robust APIs and platform services that power real-time experimentation and feature management — enabling progressive rollouts, dynamic targeting, and seamless integration with product surfaces, backend systems, and observability tooling across the company.
• Design and deliver secure, low-latency systems capable of executing high-volume experiments and real-time feature evaluations, ensuring operational excellence and product velocity.
• Partner with Data Science, ML, and Infrastructure teams to evolve statistical methodologies, improve experiment efficiency, and incorporate advanced causal inference and targeting techniques.
• Advance engineering standards and operational excellence through rigorous testing, continuous delivery pipelines, and robust monitoring frameworks.
• Provide technical leadership across the organization, mentoring engineers, influencing experimentation strategy, and driving cross-functional alignment on platform adoption and best practices to build and scale experimentation-driven product engineering

BASIC QUALIFICATIONS:

• Bachelor’s Degree
• At least 9 years of experience in software engineering and solution architecture
• At least 2 years of AWS, GCP, or Azure experience

PREFERRED QUALIFICATIONS:

• Bachelor’s or Master’s Degree in Computer Science or a related field
• 10+ years of experience with feature flagging systems
• 7+ years of experience building large-scale experimentation platforms, including A/B testing systems, feature flagging frameworks, or experiment analysis tools.
• 10+ years of experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.
• 10+ years of experience big data tools and streaming systems
  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): $280,600 - $320,200 for Sr Distinguished Engineer
  McLean, VA: $308,700 - $352,300 for Sr Distinguished Engineer
  New York, NY: $336,700 - $384,200 for Sr Distinguished Engineer
  Plano, TX: $280,600 - $320,200 for Sr Distinguished Engineer
  Richmond, VA: $280,600 - $320,200 for Sr Distinguished Engineer
  San Jose, CA: $336,700 - $384,200 for Sr 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com
  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).
  Salary
  280,600.00 - 320,200.00 Annual
  Type
  Full-tim

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
• Define and lead the technical strategy and roadmap for the experimentation and feature flagging platform, ensuring it enables safe, scalable experimentation across web, mobile, and backend systems.
• Architect an extensible experimentation platform and analysis infrastructure built on a contribution-based metrics framework. One that supports advanced methodologies of sequential testing with contextual multi-arm bandits and ML techniques that blend personalization with experimentation for AI-accelerate experiment outcomes.
• Build robust APIs and platform services that power real-time experimentation and feature management — enabling progressive rollouts, dynamic targeting, and seamless integration with product surfaces, backend systems, and observability tooling across the company.
• Design and deliver secure, low-latency systems capable of executing high-volume experiments and real-time feature evaluations, ensuring operational excellence and product velocity.
• Partner with Data Science, ML, and Infrastructure teams to evolve statistical methodologies, improve experiment efficiency, and incorporate advanced causal inference and targeting techniques.
• Advance engineering standards and operational excellence through rigorous testing, continuous delivery pipelines, and robust monitoring frameworks.
• Provide technical leadership across the organization, mentoring engineers, influencing experimentation strategy, and driving cross-functional alignment on platform adoption and best practices to build and scale experimentation-driven product engineerin

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
• Define and lead the technical strategy and roadmap for the experimentation and feature flagging platform, ensuring it enables safe, scalable experimentation across web, mobile, and backend systems.
• Architect an extensible experimentation platform and analysis infrastructure built on a contribution-based metrics framework. One that supports advanced methodologies of sequential testing with contextual multi-arm bandits and ML techniques that blend personalization with experimentation for AI-accelerate experiment outcomes.
• Build robust APIs and platform services that power real-time experimentation and feature management — enabling progressive rollouts, dynamic targeting, and seamless integration with product surfaces, backend systems, and observability tooling across the company.
• Design and deliver secure, low-latency systems capable of executing high-volume experiments and real-time feature evaluations, ensuring operational excellence and product velocity.
• Partner with Data Science, ML, and Infrastructure teams to evolve statistical methodologies, improve experiment efficiency, and incorporate advanced causal inference and targeting techniques.
• Advance engineering standards and operational excellence through rigorous testing, continuous delivery pipelines, and robust monitoring frameworks.
• Provide technical leadership across the organization, mentoring engineers, influencing experimentation strategy, and driving cross-functional alignment on platform adoption and best practices to build and scale experimentation-driven product engineerin