Capital One

Full-stack Engineer

• 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 the company’s regulatory needs
• Stay current with technology trends and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that support millions of Americans’ financial empowerment
• Use Node.js, TypeScript, Angular, HTML/CSS, Java, SQL, Python, Kafka, open-source RDBMS and NoSQL databases, Docker, AWS Fargate, Lambda, and AWS tools and services
• Deliver using microservice and micro-UI architectures with Spring Boot, Node.js, Angular, and Vue.js

Lead Software Engineer, Full Stack

• 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
• Stay on top of technology trends, experiment with and learn new technologies, participate in internal and external technology communities, mentor engineering community members, and occasionally code or evaluate code
• Collaborate with digital product managers to 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, AWS tools and services, NodeJs, AWS Fargate, Lambda, Springboot, Angular, and VueJs
• Deliver using microservice architecture and micro UI architecture

Senior Lead Software Engineer, Full Stack

Data Engineer

• Design, develop, test, implement, and support technical solutions across Agile teams
• Build and deploy proprietary AI-powered risk management solutions with the GRC team and partners across Capital One
• Develop full-stack systems using machine learning, distributed microservices, and cloud technologies
• Use Java, Scala, Python, open-source relational and NoSQL databases, and cloud data warehouses such as Redshift and Snowflake
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment
• Perform unit tests and conduct code reviews to ensure rigorous design, quality, and performance
• Stay current with technology trends, experiment with new technologies, participate in technology communities, and mentor engineers

Lead Data Engineer

Engineering Manager

• 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 current with technology trends and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Occasionally code or evaluate code
• Collaborate with digital product managers
• Deliver robust cloud-based solutions supporting financial empowerment
• Build and deploy proprietary AI-powered risk management solutions with the GRC team and company partners

Senior Manager, Software Engineering, Full Stack

Risk

• Support development and execution of the Network Participant Risk Management testing and monitoring strategy
• Perform testing and monitoring of first-line network participant risk management, including detailed data analysis to identify risks, problem areas, and remediation plans
• Serve as a subject matter expert to Business Risk Office and Independent Risk Management functions in assessing operational risk
• Provide guidance and effective challenge for implementing Network Participant risk management practices
• Support management and ownership of related policies and standards
• Execute challenge activities, elevate suspected risk, and provide assurance that risk-taking groups appropriately represent control environments
• Document and communicate challenge activity results and perform validation data analysis, including trending, problem identification, and remediation plans
• Consult on issue/event analysis and reporting to identify trends and changes in the Network Participant risk environment
• Collaborate with stakeholders across multiple organizations to achieve objectives
• Manage multiple priorities and risk management initiatives supporting the Network Participant Risk Management team
• Assist in developing risks, issues, and mitigation plans to address areas of exposure

Risk Manager – Network Participant Risk Oversight, Testing & Monitoring

Director

• Partner with CDX leaders to define business strategies
• Tackle strategic questions using a consulting-style model
• Lead priority strategic initiatives for CDX, such as AI transformation
• Support the organization’s intelligence unit with analytics, landscape assessments, and thematic deep dives
• Set the vision for long-term product innovation
• Partner with engineering to deliver product prototypes
• Lead strategy and product people leaders and individual contributors
• Invest in team development and create a talent pipeline
• Establish trusted relationships with internal and external customers and key stakeholders
• Cultivate a customer-centric, mission-oriented Product culture
• Role model AI adoption by inventing and spreading solutions that improve work efficiency and quality

Business Director, Product Strategy – Analysis

• 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 the company’s regulatory needs
• Stay current with technology trends and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Occasionally code or evaluate code
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that help millions of Americans achieve financial empowerment
• Build and deploy proprietary risk-management solutions powered by AI technology
• Use full-stack technologies, databases, container orchestration, and AWS tools and services

Senior Manager, Software Engineering, Full Stack – People Leader

Art Director

• Serve as a strategic partner and craft leader across Concierge products, including Velocity Black and agent tools, and Premium Card experiences
• Shape high-level design vision without directly managing a team
• Spearhead AI-driven design workflows and integrate emerging AI tools into the design practice
• Lead high-impact, highly complex product design projects
• Establish modern frameworks, playbooks, and rapid prototyping capabilities
• Mentor teammates and elevate collective design craft through knowledge-sharing and constructive critique
• Partner with research, Product, Engineering, marketing, and analytics leadership
• Translate complex capabilities, data, and technical constraints into intuitive, high-value customer experiences
• Shape long-term product direction, strategy, OKRs, roadmaps, and operating models
• Present design work and data-backed stories to senior stakeholders
• Connect teams, platforms, and lines of business to deliver cohesive end-to-end experiences

Product Design Director – Concierge Products, Premium Card

Product Manager

• Lead products within the Payments Intelligence platform responsible for organizing, enhancing, and managing spend data
• Maintain high resilience, performance, and data quality
• Manage and develop data products while executing a strategic product roadmap aligned with business goals
• Collaborate across teams to define data-driven strategies, prioritize features, and deliver impactful solutions on time
• Monitor product performance using key metrics
• Drive continuous improvement and innovation throughout the product lifecycle
• Lead cross-functional teams to solve customer problems and drive organizational alignment

Senior Manager, Product Management – Emerging Payments

Backend Engineer

• Lead a portfolio of diverse technology projects and a team of developers
• Create solutions that help meet the company’s regulatory needs
• Stay current with technology trends and experiment with and learn new technologies
• Participate in internal and external technology communities
• Mentor members of the engineering community
• Occasionally write or evaluate code
• Collaborate with digital product managers
• Deliver robust cloud-based solutions that create powerful experiences for millions of Americans
• Use programming languages, databases, container orchestration services, and AWS tools and services

Lead Software Engineer – Back End

Financial Planning and Analysis

• Collaborate on diverse Finance organization processes and activities using a risk management mindset and Finance expertise
• Work with Accountable Executives and delegates of global and international Finance processes to identify international risks, recommend control improvements, and support a well-managed environment
• Support implementation of the international risk management framework for Finance and enterprise international maturation and governance programs
• Assess contemplated international expansion efforts and provide risk perspectives to impacted Finance leaders
• Connect with risk teams across global and international businesses to understand best practices and ensure policies and procedures are followed
• Support second-line-of-defense teams with operational reporting and governance forums
• Investigate issues and events with partner teams, perform root cause analysis, and suggest remediation actions
• Engage risk partners to align with enterprise guidance, standards, and policies
• Synthesize disparate information to influence business, product, and technology leaders toward grounded, risk-based decisions
• Create and maintain process and governance documentation, including process flows, scorecards, SOPs, and presentation materials
• Evaluate local regulatory changes and facilitate incorporation into controls and procedures
• Assist with audit and regulatory exam preparation and execution
• Provide risk analysis, insights, and reporting metrics with broader FRM teams
• Support recurring and ad hoc risk activities, including process-level risk assessments and payments control testing
• Provide pre-, during-, and post-audit/exam management and risk advisory support

Capital Markets & Risk Analyst – Finance Risk Management

Data Scientist

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Build and ship scalable architecture and AI/ML solutions for Capital One’s mobile app
• Develop app features with dynamic and personalized customer experiences
• Enable customers to interact with digital assistant Eno and search useful content
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and other technologies to analyze numeric and textual data
• Apply NLP and LLM expertise to adapt and fine-tune models for customer-facing applications
• Build machine learning and NLP models through design, training, evaluation, and validation
• Partner with engineering teams to operationalize models in scalable, resilient production systems serving 80+ million customers
• Translate complex technical work into tangible business goals
• Research and evaluate emerging technologies and apply state-of-the-art methods
• Lead talent development for the team and beyond
• Influence cross-functional stakeholders and communicate findings to non-technical audiences

Manager, Data Science – AI Foundations

• Partner with cross-functional data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and related technologies for large-scale numeric and textual data
• Apply Natural Language Processing expertise to Large Language Models, adapting and fine-tuning them for customer-facing applications
• Build machine learning and NLP models through design, training, evaluation, and validation
• Partner with engineering teams to operationalize models in scalable and resilient production systems serving 80+ million customers
• Translate complex technical work into tangible business goals
• Research and evaluate emerging technologies and apply state-of-the-art methods
• Lead stakeholders and support talent development

Senior Manager, Data Science – AI Foundations

Project Manager

• Lead the Enterprise Supplier Management Project Management Office within Capital One
• Build and oversee project management structure and governance for Enterprise Supplier Management
• Define and implement methodologies, processes, and tools to standardize project delivery and enhance visibility
• Identify and sequence multi-year strategic objectives and roadmap for the project portfolio
• Lead and support a team of approximately 10–20 Associates
• Own executive-level communications, roadmaps, and reporting
• Provide strategic oversight and hands-on assistance for scoping, feasibility assessment, and foundational program definition
• Facilitate tradeoff and prioritization discussions with the Executive Leadership Team
• Direct workflow solution design and implementation
• Drive continuous improvement using data, technology, industry best practices, and Agile methodologies
• Partner with project customers, legal/compliance, technology leads, and business operations
• Ensure projects are delivered on time and on budget while managing risk
• Maintain understanding of AI principles, project-management applications, and industry trends

Senior Director, Project Management – Enterprise Supplier Management

Developer Relations

• Reimagine the status quo and identify value creation opportunities
• Drive innovative and sustainable customer experiences through technology
• Build and scale innovative products and user-obsessed platforms
• Create digital connections and customer-centric experiences across users' financial journeys
• Shape foundational platforms and best-in-class products used by millions of customers
• Build AI tools and platforms that transform how engineering teams build and operate software
• Own high-throughput communication engines delivering billions of real-time interactions
• Drive quality and UI/UX consistency across customer-facing digital channels
• Lead greenfield enterprise supplier and operational platform initiatives
• Lead cross-functional teams, solve customer problems, and drive organizational alignment