Capital One
Full-stack Engineer 5 (Senior Manager, IC)-EDT
$209K–$286K
McLean, VA +2 · Manager · Full-time · Posted Sep 25, 2026
- Location
- McLean, VA
New York, NY
Richmond, VA - Experience
- At least 6 years in software engineering and at least 3 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes multiple additional thresholds, ranging from 1 to 9+ years.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; preferred: Master’s Degree in Computer Science or a related field.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Lead engineering teams and deliver large-scale cloud-native data platform systems, shaping architecture and technology strategy for Capital One’s Enterprise Data Tech organization.
What you'll do
- Lead technology projects and developers building distributed microservices and full-stack systems that meet regulatory needs.
- Design and implement reliable, high-performance distributed or cloud-native systems, and shape architecture and platform roadmaps.
- Provide technical leadership, mentor engineers, and collaborate with product managers and architects to deliver cloud-based solutions.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of experience in software engineering; internship experience does not apply.
- At least 3 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
Nice to have
- Master’s Degree in Computer Science or a related field.
- Experience with modern AI-based coding tools and IDE copilots, and interactive AI tooling beyond basic code completion.
Pay
USD $229,900 - $262,400 base salary; USD $250,800 - $286,200 base salary; USD $209,000 - $238,500 base salary
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
The role supports evolving data platform capabilities for the AI world and prefers experience using AI coding tools, IDE copilots, and interactive AI tooling to accelerate productivity.
Model-written summary · the original posting is authoritative