This role pays more than
99%
of similar roles. Most pay
$192,050–$246,150
— the shaded band above.
At the midpoint, this role pays about
$368k
versus about
$219k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
1756 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 961 roles with salary data.
As a Senior Staff Full-Stack Engineer, you will join a community of technical experts to define the future of banking in the cloud. You will work alongside developers, machine learning experts, and product managers to decompose complex problems into practical solutions while ensuring high quality in design and implementation. Your daily work involves driving the modernization of monolithic systems into microservice architectures and event-driven platforms, while establishing API standards and long-term platform strategies. You will serve as a technical authority on performance, scalability, and operability while mentoring peers and promoting engineering excellence. The role requires expertise in web technologies including JavaScript, TypeScript, and SPA frameworks; the full ML development lifecycle with AI tools; data architecture; and cloud computing across AWS, Microsoft Azure, or Google Cloud. You will also utilize Java, Python, Go, or Swift to build robust systems.
What does a Full Stack Engineer earn in New York?
Median $221200 from 89 postings across 10 companies.
Articulate and evangelize a bold technical vision for your specific domain.
Decompose complex problems into practical, operational solutions while ensuring high quality of design and implementation.
Serve as an authoritative expert on non-functional system characteristics like performance, scalability, and operability.
Drive the modernization of monolithic systems into microservice architectures and event-driven platforms.
Collaborate with leadership to define long-term platform strategies and API standards.
Mentor engineers and coach the community to strengthen technical expertise and knowledge sharing.
Create technical documentation, code samples, and blog posts to share knowledge internally and externally.
What we're looking for
At least 9 years of experience in general software engineering and solution architecture.
Experience with enterprise architecture and design patterns.
Expertise in web technologies including JavaScript, TypeScript, and SPA frameworks.
Experience in the full ML development lifecycle using AI and ML frameworks.
Experience in cloud computing (AWS, Microsoft Azure, or Google Cloud).
Experience in data architecture.
Master's Degree in Computer Science or a related field (preferred); 10+ years of professional experience coding in common languages (preferred); 3+ years of experience with cloud technologies (preferred).