Capital One Lead Software Engineer Full Stack 

United States, Virginia, Arlington 

759548642

Senior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible)

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.

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.

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.

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

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.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.