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About the Role
In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.
Responsibilities
- Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 4 years of experience in software engineering (Internship experience does not apply)
- At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
- Master’s Degree in Computer Science or a related field
- 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
- 3+ years of experience with database and database management systems
- 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
- 4+ years of experience contributing to open source frameworks
- 3+ years of experience with front-end JavaScript or TypeScript frameworks
- 4+ years of experience creating synchronous and asynchronous APIs
- 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- 3+ years of experience troubleshooting technical issues within cloud environments
- Experience leveraging modern AI-based coding tools and IDE copilots
- 1+ year of experience mentoring engineers and driving professional development within technical teams
- 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
- Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
- Experience leading cross-functional engineering efforts or large-scale technical initiatives
- Experience establishing and enforcing coding standards and design patterns across teams
Skills
- Java
- Scala
- Python
- Go
- Node.js
- JavaScript
- TypeScript
- Open Source RDBMS
- NoSQL databases
- Docker
- Kubernetes
- AWS
- GCP
- Azure
- Git
- GitHub
- Bitbucket
- CI/CD pipelines
- Infrastructure as Code
- Automated testing frameworks
- Observability
Location
- McLean, VA
- New York, NY
- Richmond, VA
Work Type
- Full-time
Experience Level
- 4+ years of experience in software engineering
- 2+ years of experience with public cloud platforms
- 7+ years of experience coding
- 3+ years of experience with database and database management systems
- 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
- 4+ years of experience contributing to open source frameworks
- 3+ years of experience with front-end JavaScript or TypeScript frameworks
- 4+ years of experience creating synchronous and asynchronous APIs
- 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
- 3+ years of experience using Git-based version-control systems
- 3+ years of experience troubleshooting technical issues within cloud environments
- 1+ year of experience mentoring engineers
- 1+ year of experience leveraging observability
- Experience leading cross-functional engineering efforts or large-scale technical initiatives
Education Level
- Bachelor's Degree or higher in Computer Science or a related quantitative field
- Master’s Degree in Computer Science or a related field
Salary/Compensations
- McLean, VA: $197,300 - $225,100
- New York, NY: $215,200 - $245,600
- Richmond, VA: $179,400 - $204,700
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 is a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs.
- In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world.
- Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology.
- We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.
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 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.