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About the Role

As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong technology solutions. You will promote a culture of engineering excellence and lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community. Senior Staff Engineers are expected to lead through technical contribution, operating as a trusted advisor for key technologies, platforms and capability domains.

Responsibilities

Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Drive modernization of monolithic systems into microservice architectures and event-driven platforms
Collaborate with senior engineering and architecture leaders to define long-term platform strategy and API standards
Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers
Lead cross-divisional projects and impacts that promote technological best practices and enhancements

Requirements

Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 9 years of experience in software engineering and solution architecture
At least 9 years of experience in enterprise architecture and design patterns
At least 9 years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud)
At least 9 years of experience in data architecture
Master’s Degree in Computer Science or Software Engineering
12+ years of experience in software engineering and solution architecture
12+ years of experience in enterprise architecture and design patterns
12+ years of experience in web technologies (JavaScript, TypeScript and SPA frameworks)
12+ years of experience designing and building distributed HPC and ML systems
12+ years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud)
12+ years of experience in data architecture
12+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
10+ years of experience with database and database management systems
12+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
7+ years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
12+ years of experience with Networking protocols and integration with third party distributed systems
7+ years of experience mentoring senior engineers and driving professional development within technical teams
3+ years of experience leading cross-domain architectural reviews or establishing coding and design standards
Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges

Skills

Software engineering
Solution architecture
Enterprise architecture
Design patterns
Cloud computing
Data architecture
Web technologies
JavaScript
TypeScript
SPA frameworks
Distributed HPC
ML systems
Go
Java
Python
Rust
C#
Scala
Database management systems
System development lifecycle
Public cloud platforms
Cloud-based productivity tools
Virtualization technologies
Networking protocols
Third party distributed systems integration
Mentoring senior engineers
Professional development
Cross-domain architectural reviews
Coding standards
Design standards
Agentic AI coding tools

Location

Chicago, IL
McLean, VA
New York, NY
Richmond, VA
San Francisco, CA

Work Type

Full-time

Experience Level

Senior Staff
9+ years
12+ years
10+ years
7+ years
3+ years

Education Level

Bachelor's Degree in Computer Science or related field
Master's Degree in Computer Science or Software Engineering

Salary/Compensations

Chicago, IL: $286,200 - $326,700
McLean, VA: $314,800 - $359,300
New York, NY: $343,400 - $392,000
Richmond, VA: $286,200 - $326,700
San Francisco, CA: $343,400 - $392,000

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

About the Company

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
Capital One Financial is made up of several different entities.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.