Capital One
Full-stack Engineer 4
$179K–$246K
New York, NY +1 · Full-time · Posted Oct 1, 2026
- Location
- New York, NY
Richmond, VA - Experience
- At least 4 years in software engineering and at least 2 years in the stated cloud or virtualization areas. Preferred experience includes several alternatives, including 7+ years coding with Python, JavaScript/TypeScript.
- 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 not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Leads full-stack engineering projects and teams to build and operate cloud-based systems that meet regulatory needs and deliver customer experiences.
What you'll do
- Lead technology projects and developers; set engineering standards and provide technical direction across Agile teams.
- Partner with product managers and architects to design and deliver cloud-based services, integration patterns, and reusable frameworks.
- Improve system performance and reduce technical debt while evaluating emerging technologies and mentoring engineers.
What they ask for
- Bachelor's degree or higher in Computer Science or a related quantitative field.
- At least 4 years of software engineering experience; internship experience does not apply.
- At least 2 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, interactive AI tooling, and leading cross-functional engineering initiatives.
Pay
$215,200 - $245,600 USD base salary (New York, NY); $179,400 - $204,700 USD base salary (Richmond, VA)
Tools
Python, JavaScript, TypeScript, Docker, Kubernetes, AWS, GCP, Azure
AI focus
Preferred experience using AI-based coding tools, IDE copilots, and interactive AI tooling to accelerate productivity beyond basic code completion.
Model-written summary · the original posting is authoritative