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About the Role
As a 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 work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Staff Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community. Staff Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other materials to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. In this role, you will lead the strategy, roadmap, and execution for next-generation CI/CD pipelines, microservices architectures, and AI-augmented developer tooling. You will champion the transition toward Intent-Driven Infrastructure—leveraging AI and automation to allow engineers to declare what they need, leaving the underlying platform to securely determine how to provision and optimize it. This is a high-visibility, executive-influencing role. You will bridge the gap between deep technical implementation and business value, partnering closely with internal engineering communities, Cyber, Risk, and Executive Leadership to build a highly secure, developer-centric, and well-managed ecosystem that aggressively lowers Feature Lead Time.
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 7 years of experience in all of the following: Software engineering and solution architecture, Enterprise architecture and design patterns, Cloud computing (AWS, Microsoft Azure, Google Cloud), Data architecture
- Master’s Degree in Computer Science or Software Engineering
- 10+ years of experience in all of the following: Software engineering and solution architecture, Enterprise architecture and design patterns, Web technologies (JavaScript, TypeScript and SPA frameworks), Designing and building distributed HPC and ML systems, Cloud computing (AWS, Microsoft Azure, Google Cloud), Data architecture
- 10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Typescript, Python, Rust, C#, Scala
- 8+ years of experience designing and implementing CI/CD pipelines and DevOps toolchains.
- 8+ years of experience with containerization and microservices orchestration (e.g., Kubernetes, Docker) in a cloud-native environment (AWS, GCP, or Azure).
- 6+ years of experience designing Intent-Driven Infrastructure or declarative configuration platforms (e.g., advanced Terraform, Cross plane, or custom control planes) that decouple developer intent from infrastructure management
- 3+ years of experience in AI Augmented Software Development using AI Coding Assistant Tools, Spec Driven Development
- 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
- 5+ years of experience mentoring senior engineers and driving professional development within technical teams
- 2+ years of experience leading cross-divisional architectural reviews and 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 (AWS, Microsoft Azure, Google Cloud)
- Data architecture
- Web technologies (JavaScript, TypeScript and SPA frameworks)
- Distributed HPC and ML systems
- Go
- Java
- JavaScript/Typescript
- Python
- Rust
- C#
- Scala
- CI/CD pipelines
- DevOps toolchains
- Containerization
- Microservices orchestration (Kubernetes, Docker)
- Cloud-native environment (AWS, GCP, or Azure)
- Intent-Driven Infrastructure
- Declarative configuration platforms (Terraform, Cross plane, custom control planes)
- AI Augmented Software Development
- AI Coding Assistant Tools
- Spec Driven Development
- System development lifecycle
- Mentoring senior engineers
- Cross-domain architectural reviews
- Coding standards
- Design standards
- Agentic AI coding tools
Location
- McLean, VA
- New York, NY
- Richmond, VA
Work Type
- Full-time
Experience Level
- Staff Engineer
- 7+ years
- 10+ years
- 8+ years
- 6+ years
- 3+ years
- 5+ years
- 2+ years
Education Level
- Bachelor's Degree in Computer Science or related quantitative field
- Master's Degree in Computer Science or Software Engineering
Salary/Compensations
- McLean, VA: $269,100 - $307,200
- New York, NY: $293,600 - $335,100
- Richmond, VA: $244,700 - $279,200
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
About the Company
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- This role is expected to accept applications for a minimum of 5 business days.
- No agencies please.
- 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, 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.
- If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
- For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
- Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
- Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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.