Capital One
Full-stack Engineer 5 (Enterprise Platforms Technology) (MEG)
$209K–$286K
McLean, VA +3 · Full-time · Posted Oct 14, 2026
- Location
- McLean, VA
Richmond, VA
New York, NY
Plano, TX - 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 9+ years coding with more than two listed languages, plus other role-specific experience thresholds.
- 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
Leads engineering teams and delivers reliable, cloud-native platform systems and shared services that meet regulatory needs and support enterprise technology strategy.
What you'll do
- Lead technology projects and developers, providing technical leadership and mentoring across teams.
- Design and implement large-scale distributed and cloud-native systems, and shape architecture and platform roadmaps.
- Collaborate with product leaders to deliver cloud-based solutions and shared services.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of software engineering experience; 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 (McLean, VA); USD $250,800 - $286,200 base salary (New York, NY); USD $209,000 - $238,500 base salary (Plano, TX); USD $209,000 - $238,500 base salary (Richmond, VA)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Preferred experience using AI-based coding tools and IDE copilots, including interactive AI tooling beyond basic code completion.
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