Capital One

Accounting Manager

• Prepare and review accounting activities, including journal entries and reconciliations
• Support and prepare external SEC and regulatory reports, including documenting and presenting results to management and senior leadership
• Ensure accounting and reporting practices and documentation comply with corporate policies and procedures
• Perform periodic analysis and reporting of financial performance for stakeholders and management within deadlines
• Respond to requests from other departments and conduct research
• Participate in corporate projects involving technology and data transformation, process improvement, and business initiatives
• Collaborate with internal and external partners to resolve issues and stay informed about process or product changes
• Provide ad hoc analysis to management
• Support audit, risk, and compliance groups when necessary

Associate, Accounting

Full-stack Engineer

• Define the future of banking in the cloud as a technical expert
• Devise practical and reusable solutions to complex problems
• Drive innovation and optimize business outcomes while delivering strong technology solutions
• Promote engineering excellence and an inclusive engineering culture
• Mentor engineers and help recruit next-generation technical talent
• Serve as a trusted advisor for key technologies, platforms, and capability domains
• Create communications, code samples, blog posts, and other knowledge-sharing materials
• Partner with Product and Engineering teams in the Servicing Platform space
• Build and improve enterprise-scale platforms for security, performance, maintainability, and usability
• Articulate and evangelize technical vision
• Decompose complex problems into practical, operational solutions
• Ensure quality of technical design and implementation
• Advise on performance, scalability, and operability
• Manage multiple projects simultaneously
• Modernize monolithic systems into microservice architectures and event-driven platforms
• Collaborate with senior engineering and architecture leaders on platform strategy and API standards
• Lead cross-divisional projects promoting technological best practices and enhancements
• Balance hands-on technical contribution with mentoring and elevating peers and junior engineers

Staff Full-stack Engineer

• Lead, manage, and grow multiple teams of product-focused software engineers
• Mentor and guide engineers' professional and technical development
• Partner with product managers to understand application capabilities and testing scenarios
• Continuously improve software engineering practices
• Design, develop, test, implement, and support technical solutions across full-stack tools and technologies
• Lead the craftsmanship, availability, resilience, and scalability of solutions
• Stay current with technology trends, experiment with and learn new technologies, and participate in technology communities
• Encourage innovation, inclusion, teamwork, self-organization, diversity, and outside-the-box thinking
• Improve team velocity across engineering teams
• Lead deployment of new and existing applications into AWS environments
• Oversee migration of monolithic applications to microservice architectures and build new microservices
• Shape long-term technical strategy and architecture standards for enterprise platforms
• Partner with senior engineering and business leaders to align product roadmaps with scalable technology capabilities
• Drive talent strategy, succession planning, skill development, and equitable opportunity across engineering teams

Director, Full-Stack Engineer, Shopping Tech

Researcher

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products
• Leverage PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and other technologies to analyze large numeric and textual datasets
• Build AI foundation models through design, training, evaluation, validation, and implementation
• Conduct applied research to bring the latest AI developments into customer experiences
• Translate complex research into tangible business goals
• Define and steward novel research directions that expand Capital One’s long-term scientific agenda
• Drive strategic direction through collaboration with Applied Science, Engineering, and Product leaders
• Guide and mentor applied scientists and their managers without direct people-management responsibility
• Represent Capital One externally in the AI research community and collaborate with prominent faculty

Staff Applied Researcher

Revenue Operations

• Operate as a Strategic Consultant and Customer-Centric Partner to auto dealers within the Capital One Sales Process
• Prospect and secure net-new subscribers for the partnering sales division
• Drive market share and revenue growth across assigned sales territories
• Sell the full suite of Navigator Platform products, bundles, and marketing solutions
• Partner with Regional leaders to identify high-opportunity customers and maximize time and ROI
• Demonstrate product knowledge and deliver compelling product demos
• Uncover customer friction points and convert them into growth opportunities
• Build rapport with auto dealer decision makers and influence purchasing decisions
• Drive customer success and the company’s bottom line

Dealer Success Manager – Revenue

Solutions Engineer

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• 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
• Deliver robust cloud-based solutions that drive powerful experiences for associates
• Utilize NodeJS, Python, SQL, Docker, Kubernetes, Terraform, and AWS tools and services

Integration Engineer 3 – Email, ProofPoint

• Architect LLM-driven capabilities and HRTech innovations for enterprise-scale HR processes and global associate experiences
• Design, build, and deploy autonomous agentic AI solutions and multi-agent workflows for complex HR capabilities
• Partner with security, governance, and risk teams to implement secure, compliant, and well-managed AI workflows
• Lead diverse technology projects and developer teams building distributed microservices and full-stack systems
• Stay current with technology trends, experiment with emerging technologies, participate in technology communities, and mentor engineers
• Collaborate with digital product managers to deliver robust cloud-based solutions
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS services
• Provide technical leadership across Agile teams and set standards for AI-enabled full-stack application design, development, and operations
• Define service boundaries, integration patterns, AI agent execution environments, and reusable frameworks with architects
• Identify improvements, 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 4 – GenAI & Agentic Systems, LangChain, LangGraph

• Work with product owners to understand desired application capabilities and testing scenarios
• Continuously improve software engineering practices
• Design, develop, test, implement, and support technical solutions across a full stack of development tools and technologies within and across Agile teams
• Lead the craftsmanship, availability, resilience, and scalability of solutions
• Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor other engineers
• Encourage innovation, cutting-edge technology implementation, inclusion, outside-the-box thinking, teamwork, self-organization, and diversity
• Design, develop, and implement robust integration solutions connecting enterprise applications, including Salesforce CRM and Google Cloud services
• Lead complex, enterprise-scale integrations across multiple systems, data sources, and platforms
• Serve as technical integration lead for major initiatives, partnering with software, data, and infrastructure teams to ensure interoperability and performance
• Define integration standards, patterns, and best practices across teams

Integration Engineer 4, Email, Proofpoint

• Work with product owners to understand desired application capabilities and testing scenarios
• Continuously improve software engineering practices
• Design, develop, test, implement, and support technical solutions across a full stack of development tools and technologies within and across Agile teams
• Lead the craftsmanship, availability, resilience, and scalability of solutions
• Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor engineering community members
• Encourage innovation, cutting-edge technology adoption, outside-the-box thinking, teamwork, self-organization, and diversity
• Design, develop, and implement robust integration solutions connecting enterprise applications, including Salesforce CRM and Google Cloud services
• Lead complex, enterprise-scale integrations across systems, data sources, and platforms
• Serve as technical integration lead for major initiatives, partnering with software, data, and infrastructure teams
• Define integration standards, patterns, and best practices across teams

Integration Engineer – Level 4

• Define the future of banking in the cloud as a Staff Engineer at Capital One
• Articulate and evangelize a bold technical vision for the domain
• Decompose complex problems into practical, operational solutions
• Ensure the quality of technical design and implementation
• Advise on non-functional system characteristics including performance, scalability, and operability
• Continue learning and inject advanced technical knowledge into the engineering community
• Manage several projects simultaneously 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
• Provide hands-on technical contribution while mentoring and elevating peers and junior engineers
• Lead cross-divisional projects promoting technological best practices and enhancements
• Create communications, code samples, blog posts, and other knowledge-sharing materials

• Lead a portfolio of diverse technology projects and a team of developers working on distributed microservices and full-stack systems
• Create solutions that help meet the company’s regulatory needs
• 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 experiences
• 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 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, and reduce technical debt while enhancing system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a “you build it, you own it” environment

Product Designer

• Lead user experience design and strategy across the unified Tech & Data Risk Management ecosystem
• Embed policy governance, exception management, and cyber risk safeguards into workplace tools
• Champion AI-forward and agentic design strategies to reduce administrative toil and accelerate time-to-insight
• Lead product design and strategy for complex customer and business problems
• Oversee and optimize design tools, platforms, frameworks, and design systems
• Guide the creation of vision stories, journey maps, blueprints, high-fidelity designs, and prototypes
• Set team goals aligned with broader portfolio strategy and manage stakeholders
• Train and develop designers and foster a high-performing, inclusive team culture
• Shape product direction using design expertise, user insights, data, research, and business understanding
• Drive alignment across product, technology, and business partners
• Manage the design portfolio, including adjusting scope and priorities as needed
• Own problem-solving approaches and balance competing interests and priorities
• Collaborate across the organization to advance workstream projects
• Present work across organizational levels and job functions
• Support Capital One’s digital and physical customer experiences and business innovation

Senior Manager, Product Design

Project Manager

• Serve as the primary strategic orchestrator across Capital One’s Technology Strategic Workforce Planning ecosystem
• Synthesize operational inputs into a unified, end-to-end strategic labor roadmap and automated decision-support infrastructure
• Convert financial budget models into actionable headcount targets, skill profiles, and organizational design frameworks
• Build self-service reporting dashboards and deliver executive-ready narratives for senior leadership
• Lead moderate to large complex projects and programs
• Design, develop, and adapt project plans as requirements and goals shift
• Ensure comprehensive project documentation and governance to manage risks and support on-time delivery
• Apply problem-solving and analytical skills to align project execution with business intent
• Partner with project customers and cross-functional teams to drive delivery
• Inform, align, and influence stakeholders across the company
• Establish frameworks and organization for complex workstreams
• Coach, mentor, develop, and grow a team of associates

Senior Manager, Project Management – Integrated Global Workforce Planning

• 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 the company's regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, and participate in technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions and customer experiences
• 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 improvement opportunities, implement 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

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
• Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment
• Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift
• Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
• Lead technical reviews for AI system deployments, ensuring security, data governance, and compliance standards
• Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation