Capital One

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers using distributed microservices and full-stack systems to meet regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions serving millions of Americans
• Use programming languages, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across Agile teams and set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, perform targeted refactoring, 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

Full Stack Engineer, Java, AWS

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Solve regulatory needs through technology solutions
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions for millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Lead end-to-end design and implementation of large-scale, distributed, or cloud-native systems
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

Full-stack Engineer 5 – Shopping

Data Engineer

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• Influence developers, data analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, relational and NoSQL databases, and cloud-based data warehouses including Databricks and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data community members
• Collaborate with product managers and software engineers to deliver robust cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce reusable data engineering design patterns across platforms and pipelines
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards including encryption and fine-grained access control

Data Engineer 4 – Risk Tech

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Create solutions that help meet regulatory needs for the company
• Stay on top of technology trends, experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Code or evaluate code as needed
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that drive experiences helping millions of Americans achieve financial empowerment
• Utilize JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Go, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services

Full-stack Engineer 5

• Lead a portfolio of diverse technology projects and a team of developers using distributed microservices and full-stack systems
• Share knowledge of technology trends, experiment with emerging technologies, participate in technology communities, and mentor engineers
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across Agile teams and set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, refactor systems, reduce technical debt, and enhance performance
• Influence long-term technology strategy through evaluation of emerging tools and practices in a you-build-it-you-own-it environment

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Share knowledge of technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineers
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership and direction across Agile teams
• Set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, perform targeted refactoring, reduce technical debt, and enhance system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a 'you build it, you own it' environment

Full Stack Engineer

Product Manager

• Build platform tools and products enabling seamless and scalable machine learning models
• Influence strategic decisions and contribute to Capital One's Machine Learning product practice
• Partner with business, data science, and engineering leaders to reduce time to market for models
• Deliver machine learning platform and tool requirements and define new architecture patterns
• Partner with technology teams to define an AI-native future
• Balance business and technology product requirements and drive consensus
• Drive deployment of production machine learning models
• Design and deliver machine learning platforms, tools, and standards using systems thinking
• Drive model integration, adoption, and scaling
• Help prioritize and manage investment across model retraining, refitting, rebuilding, and operations
• Define and operate a product pod across data science and technology teams using standard agile practices
• Communicate with senior management stakeholders

Manager, Product Management – Card Intelligence Acquisitions Models

Frontend Engineer

• Partner with Software Engineers, Designers, and Product Managers to deliver high-performing, quality features for 100M+ customers
• Provide technical leadership for front-end architecture and design patterns
• Mentor engineers through feedback, code reviews, and sharing best practices for AI-assisted development
• Identify and clear technical obstacles
• Grow and provide subject matter expertise in performance, accessibility, and architecture
• Contribute to front-end architecture decisions, API design reviews, and reusable component development
• Lead design and development of client Backend-for-Frontends (BFFs) and micro frontend or federated application architectures
• Lead engineering practices, including feature flags and canary rollouts
• Champion adoption of agentic AI tools and AI-native development practices
• Apply modern web ecosystem expertise, including PWAs, Wasm, mobile web, and Service Workers
• Drive quality, performance, accessibility, coding, testing, and user experience standards
• Build and maintain shared architecture and services powering Capital One Travel products

Front-end Engineer

Operations

• Lead and own process improvement initiatives across Pulse Operations
• Identify opportunities to leverage automation tools and AI capabilities to improve debit network workflows
• Collect operational data and provide actionable reporting to senior leadership and executives regarding network performance, disputes, fraud, and settlement
• Monitor processes, resolve operational breakdowns, and drive issue resolution and risk mitigation
• Design the entire process lifecycle, from identifying bottlenecks and developing technical solutions through execution and production implementation
• Develop and maintain formal process documentation, procedures, and process flow diagrams
• Direct and guide project teams and cross-functional stakeholders, including Product, Technology, Training, and Monitoring, as a Subject Matter Expert
• May lead a team and/or direct others on projects

Senior Associate, Process Manager

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Build and support cloud-based data solutions using Python, Spark, relational and NoSQL databases, Databricks, and Snowflake
• Stay current with data engineering trends, experiment with new technologies, participate in technology communities, and mentor data professionals
• Collaborate with product managers and software engineers to deliver cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce data engineering design patterns across platforms and pipelines
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Mentor peers and junior engineers while contributing hands-on technical expertise
• Lead large-scale data initiatives, make architectural decisions, and evaluate platforms such as Snowflake and Databricks

Researcher

• Partner with data scientists, software engineers, machine-learning engineers, and product managers to deliver AI-powered products
• Use PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and other technologies to analyze numeric and textual data
• Build AI foundation models through design, training, evaluation, validation, and implementation
• Conduct applied research to advance AI developments into customer experiences
• Translate complex technical work into tangible business goals
• Define and evolve Capital One’s long-term research agenda
• Identify emergent scientific opportunities and steer foundational AI investments
• Drive strategic direction across Applied Science, Engineering, and Product
• Guide and mentor applied scientists and their managers without being a direct people leader
• Represent Capital One externally in the research community and collaborate with prominent faculty

Senior Staff Applied Researcher

• Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems
• Create solutions that meet regulatory needs for Capital One
• Stay current with technology trends and participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions
• Use programming languages, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership and direction across Agile teams
• Set standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify areas for improvement through targeted refactoring and efforts to reduce technical debt and enhance system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a 'you build it, you own it' environment

Project Manager

• Lead the operating model, data prioritization with partner teams, and learning facilitation strategy
• Lead a team of individual contributors across project management, platform governance, analytics, and facilitation
• Set the vision and operational standards for enterprise learning facilitation
• Direct and support approximately five full-time facilitators delivering Capital One Leads and S&G's Universal Curriculum
• Design, recruit, and manage an adjunct facilitator talent pool
• Facilitate high-impact learning content when additional coverage or senior leadership presence is needed
• Own and govern L&D intake, prioritization, and capacity modeling frameworks
• Lead strategy and platform selection for next-generation operational tools
• Streamline cross-functional workflows and complex team handoffs
• Identify and manage workflow friction, capacity constraints, and operational risks
• Manage intake, scoping, and prioritization for L&D data requests
• Guide teams through operational changes and build cross-functional relationships
• Own operational and analytics reporting and provide Monthly Business Review updates
• Establish consistent standards, shared metrics, and operational guidelines across Consultation, Facilitation, and Design Centers of Excellence
• Identify opportunities to automate routine L&D workflow and intake tasks using automation and AI
• Mentor and support direct-report individual contributors and their professional growth

Senior Manager, Project Management – Learning & Development

• Shape the future of decisioning at Capital One
• Help build a unified platform for decisioning capabilities across the company
• Enable teams to author, host, manage, execute, and audit decisioning logic through a modern workflow
• Bridge stakeholder strategy and engineering execution
• Translate complex organizational needs into a high-impact roadmap for a dedicated engineering squad
• Demonstrate proficiency in human-centered, business-focused, technology-driven, integrated problem-solving, and transformational-leadership product management practices

Manager, Product Management – Rules Lab

Administrative Assistant

• Support multiple executives ranging from Director to Managing Vice President level
• Manage complex calendars, prioritize scheduling requests, and adjust to last-minute changes
• Coordinate travel arrangements and create timely expense reports
• Drive team activities and events, including all-hands meetings and social events
• Circulate information, answer questions, and act as a team ambassador
• Foster relationships with other Administrative Assistants and teams
• Proactively solve complex problems using judgment and influencing skills
• Partner with Administrative Assistants and colleagues to foster collaboration

Full Stack Engineer, Java, AWS

Full-stack Engineer 5 – Shopping

Data Engineer 4 – Risk Tech

Full-stack Engineer 5

Full-stack Engineer

Full Stack Engineer

Manager, Product Management – Card Intelligence Acquisitions Models

Front-end Engineer

Senior Associate, Process Manager

Data Engineer

Senior Staff Applied Researcher

Full Stack Engineer

Senior Manager, Project Management – Learning & Development

Manager, Product Management – Rules Lab

Senior Administrative Assistant, Administrative Support Assistant III