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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 across multiple teams, shaping system architecture and long-term technology direction
- Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
- Partner with architects and product leaders to define platform roadmaps and shared services strategy
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
- At least 6 years of experience in software engineering (Internship experience does not apply)
- At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Skills
- Go
- Java
- JavaScript/TypeScript
- Python
- Rust
- C#
- Scala
- front-end JavaScript or TypeScript frameworks
- synchronous and asynchronous APIs
- database and database management systems
- AWS
- GCP
- Azure
- cloud-based productivity tools
- virtualization technologies
- CI/CD pipelines
- infrastructure as code
- automated testing frameworks
- Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
- troubleshooting technical issues within cloud environments
- mentoring senior engineers and driving professional development within technical teams
- observability to identify and optimize performance bottlenecks in distributed systems
- architectural design reviews
- influencing enterprise-wide technical standards and methodologies
- establishing and enforcing coding standards and design patterns across teams
- implementing observability and reliability practices at scale
- modern AI-based coding tools
- IDE copilots
- influencing technology strategy at the portfolio or business unit level
- interactive AI tooling to accelerate productivity
- leading cross-functional engineering efforts
- large-scale technical initiatives
Location
- McLean, VA
- New York, NY
- Richmond, VA
Work Type
- Full-time
Experience Level
- Senior Manager
- 9+ years of experience
- 5+ years of experience
- 4+ years of experience
- 3+ years of experience
- 2+ years of experience
- 1+ year of experience
Education Level
- Bachelor's Degree
- Master’s Degree
Salary/Compensations
- McLean, VA: $229,900 - $262,400
- New York, NY: $250,800 - $286,200
- Richmond, VA: $209,000 - $238,500
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
About the Company
- At Capital One, you'll be part of 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.