Capital One

Data Engineer

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists with expertise in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud data warehousing platforms 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 cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce data engineering design patterns for code quality, maintainability, and reusability
• 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 – Manager, IC

Product Operations

• Establish and maintain Commercial Product’s OKR methodology, reporting routines, and tracking cadences
• Equip product teams with frameworks and templates to align local deliverables with strategic metrics
• Manage Commercial’s Jira platform operations, reporting, and team-level enablement
• Drive adoption of standardized Jira workflow taxonomy
• Execute organization-wide associate engagement programs, capability-building routines, and talent development tracking
• Drive operational discipline across product teams through standardized Jira workflows, OKR tracking cadences, and talent enablement routines
• Create and maintain operational artifacts for MBRs, QBRs, and executive stakeholder engagement
• Partner with cross-functional stakeholders and leadership to provide strategic and tactical thought partnership
• Put structure in place to manage complex bodies of work

Principal Associate, Project Manager – Product Operations, Execution & Talent Enablement

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 prepare 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 support collaboration

Senior Administrative Assistant – Operational Risk Management

Machine Learning Engineer

• Design, build, and deliver machine learning models and components solving real-world business problems
• Build and scale multi-tenant platforms for large-scale ML model training and serving
• Inform ML infrastructure decisions using modeling techniques and issues including model, data, and feature selection, training, hyperparameter tuning, dimensionality, bias/variance, and validation
• Write and test application code, develop and validate ML models, and automate tests and deployment
• Collaborate with Product, Data Science, and cross-functional Agile teams
• Retrain, maintain, and monitor production models
• Leverage or build cloud-based architectures, technologies, and platforms to deliver optimized ML models at scale
• Construct optimized data pipelines feeding ML models
• Apply continuous integration and continuous deployment practices, including test automation and monitoring
• Ensure code is well-managed, models are risk-governed, and ML follows Responsible and Explainable AI best practices
• Use programming languages such as Python, Scala, or Java

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers with distributed microservices and full-stack systems experience
• Create solutions that help meet regulatory needs for Capital One
• 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 supporting financial empowerment for millions of Americans
• Use programming languages, databases, container orchestration services, 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 through evaluation of emerging tools and practices in a “you build it, you own it” environment
• Support technical onboarding, training, and continuous education initiatives through the Tech College Engineering Community Support team

Full-stack Engineer – Tech College Engineering

Recruitment

• Manage full life-cycle recruitment, including planning, sourcing, coordinating, and executing all recruitment stages
• Manage candidates throughout the recruiting and selection process
• Partner with hiring managers, business group or organization leads, and key stakeholders to understand talent needs
• Provide consulting and guidance to Students & Grads Talent Acquisition teams
• Work cross-functionally with high-performing recruiters
• Support strategic initiatives and hiring strategy
• Use recruiting data to provide status updates and hiring results to leadership and HR partners
• Source candidates through applications, search engines, career sites, recruiting events, and innovative sourcing techniques
• Build relationships with high-volume candidates and direct them to suitable roles or opportunities
• Track high-volume candidate data in real time
• Contribute to ad-hoc recruitment projects
• Keep current with recruiting trends and innovative recruitment techniques

Associate Recruiter – TIP/TDP Digital First

• Manage full life-cycle recruitment, including planning, sourcing, coordinating, and executing all recruitment stages
• Manage high-volume candidates with strong organization, attention to detail, and effective communication
• Partner with hiring managers, business group or organization leads, and key stakeholders to understand talent needs
• Work cross-functionally with high-performing recruiters
• Support strategic initiatives and hiring strategy with business partners
• Use recruiting data to provide status updates and hiring results to leadership and HR partners
• Source candidates through applications, search engines, career sites, recruiting events, and innovative sourcing techniques
• Build relationships with high-volume candidates and direct them to suitable roles or opportunities
• Track high-volume candidate data in real time
• Contribute to ad-hoc recruitment projects

Associate Recruiter – TIP/TDP Portfolio School

AI Engineer

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput
• Contribute to the technical vision and long-term roadmap of foundational AI systems
• Design, implement, and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models
• Establish and lead cost-performance governance reviews tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
• Mentor Principal- and Manager-level AI engineers and elevate organizational technical maturity

AI Engineer 5, Gen AI Platform Services

Operations

• Drive the Debit Horizontal Management function across strategy, operations, and risk management
• Perform governance and strategic management across all Debit payment channels
• Work with key stakeholders to refine Capital One’s Debit strategies
• Advance the well-managed agenda by using technology to streamline initiatives, mitigate risks, and enhance customer and associate experiences
• Generate strategic insights and maintain essential processes for Debit operations
• Govern Debit-related events and issues company-wide and escalate major risks to Senior Management
• Establish routines with Operations, Initiation, and Advisors to monitor operational metrics, controls, and risks
• Collaborate with ecosystem partners and lead insightful discussions with leadership
• Resolve Debit-related events by assessing upstream and downstream impacts
• Drive disciplined execution and continuous improvement across processes, controls, and operational practices
• Identify opportunities to streamline or automate monitoring processes
• Manage, build, and influence internal and third-party relationships

Principal Process Manager – Debit Horizontal Management

• Define and evangelize a bold technical vision for the domain
• Decompose complex problems into practical, operational solutions
• Ensure technical design and implementation quality
• Advise on non-functional system characteristics including performance, scalability, and operability
• Handle multiple projects and maximize impact
• Mentor engineers and strengthen technical expertise across engineering and product communities
• Modernize monolithic systems into microservice architectures and event-driven platforms
• Collaborate with senior engineering and architecture leaders on long-term platform strategy and API standards
• Contribute hands-on technical work while elevating peers and junior engineers
• Lead cross-divisional projects promoting technology best practices
• Review and update application repositories and ensure high code quality
• Help define architecture for scaling applications, integrating payment networks, and building a multi-tenant platform supporting batch and real-time settlement

Staff Full-Stack Engineer

Controller

• Serve as liaison between the line of business and Enterprise Supplier Management to manage accounts payable, including onboarding vendors, processing and routing invoices for payment, and tracking contracts and ongoing business expenses
• Calculate and post accurate month-end expense accruals
• Prepare general ledger journal entries and perform account reconciliations
• Prepare expense variance analysis and assist with month-end close reporting
• Interact with Finance, business partners, internal stakeholders, and associates throughout the Controller’s group
• Support team automation and data transformation efforts
• Identify and drive process efficiencies
• Learn accounting processes and procedures at Capital One and for the Commercial Broker Dealers
• Contribute to project work and grow responsibilities and impact
• Perform other duties as assigned

Associate Accountant, Commercial Controllers

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
• Invent and introduce state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput
• Contribute to the technical vision and long-term roadmap of foundational AI systems
• Set technical direction for enterprise-wide AI architecture, tooling, observability, and deployment standards
• Own model routing, caching, and orchestration systems for hybrid and multi-model workloads
• Champion responsible AI principles, including transparency, reproducibility, and fairness-by-design
• Drive internal education, mentorship, and best-practice dissemination through architecture councils and AI guilds

Staff AI Engineer

Director

• Communicate clearly and concisely through model validation presentations, reports, and presentations
• Develop and implement statistical and financial model strategies supporting Counterparty Credit Risk processes
• Assess the quality and risk of model methodologies, outputs, and processes
• Develop alternative approaches to model design and deployment capabilities
• Apply econometric, statistical, and machine learning methods to generate insights into modeled risks
• Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies
• Solve complex credit risk problems across financial institutions, commercial lending, and the Global Payment Network
• Generate insights for credit decision makers

Director, Quantitative Analysis – Commercial Credit Modeling

Human Resources

• Consult with clients, other HRBPs, and HR partner groups to execute people strategy, HR processes, and reporting
• Build effective client relationships, manage stakeholders, and align HR solutions with business needs
• Consult with associates, managers, and HR partners on HR-related issues
• Coach people managers on leadership skills, organizational design, and performance concerns
• Provide strategic consulting and workforce planning to client groups
• Deliver HR strategy aligned with business needs
• Support planning and delivery of performance and talent management, leadership development, change management, and organizational design processes
• Support senior leaders in building inclusive and diverse teams, creating belonging, and encouraging collaboration and high performance

HR Business Partner

• 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 meeting regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment for millions of Americans
• Use NodeJS, TypeScript, Angular, HTML/CSS, Java, SQL, Python, Kafka, open-source RDBMS and NoSQL databases, Docker, AWS Fargate, Lambda, and other AWS 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
• Identify improvement opportunities, implement 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
• Work with the GRC team and company partners to build and deploy proprietary AI-powered risk-management solutions