Capital One
Capital One Shopping Tech, Staff Full Stack Engineer, Technical Chief of Staff (Remote - Eligible)
$269K–$307K
McLean, VA · Staff · Full-time · Posted Sep 25, 2026
- Experience
- At least 7 years in all listed areas; preferred experience includes 10+ years in several areas, 8+ years with databases, 5+ years on public cloud or related technologies and mentoring, and 2+ years leading architectural reviews.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; preferred Master's Degree in Computer Science or Software Engineering.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Represent Capital One Shopping’s engineering work to enterprise partners and leadership, coordinate dependencies, and remove platform, governance, and organizational roadblocks using hands-on engineering depth.
What you'll do
- Maintain an organization-wide view of current and planned work, including technical and business dependencies.
- Secure enterprise platform support, tools, access, approvals, and leadership decisions; navigate governance and broker with central teams.
- Represent and defend Shopping’s architecture and technical choices, and coordinate dependencies on major cross-cutting efforts.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
- At least 7 years of experience in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and data architecture.
Nice to have
- Master’s Degree in Computer Science or Software Engineering.
- Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges.
Pay
USD $269,100 - $307,200 base salary (McLean, VA)
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Java, Python
AI focus
Preferred expertise applying agentic AI coding tools to solve systemic development challenges; preferred experience designing and building distributed HPC and ML systems.
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