Capital One
Full Stack Engineer 5
$251K–$286K
New York, NY · Full-time · Posted Oct 28, 2026
- Experience
- At least 6 years of software engineering experience (internship experience does not apply) and at least 3 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 9+ years coding with more than two listed languages and various requirements ranging from 1 to 5+ years.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; a Master’s Degree in Computer Science or a related field is preferred.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads teams designing and delivering large-scale, cloud-native full-stack systems and platform architecture for Capital One.
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 technology direction.
- Partner with product leaders and architects on platform roadmaps, while mentoring engineers and promoting technology learning.
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 AI coding tools and IDE copilots, interactive AI tooling beyond basic code completion, and the listed engineering leadership, cloud, and systems practices.
Pay
$250,800 - $286,200 USD base salary (New York, NY)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Preferred experience includes using modern AI-based coding tools and IDE copilots, and interactive AI tooling beyond basic code completion to accelerate productivity.
Model-written summary · the original posting is authoritative