Jobs at Capital One

Leads full-stack software engineering initiatives, technical teams, and diverse technology projects. Designs and implements highly reliable distributed, microservices, and cloud-native systems using modern programming languages, databases, containers, and cloud platforms. Partners with product leaders and architects on platform roadmaps, system architecture, shared services, technology strategy, coding standards, observability, and reliability practices. Mentors engineers and drives enterprise-scale technical initiatives.

Build and lead full-stack software engineering projects using distributed microservices, cloud platforms, and modern front-end and back-end technologies. Responsibilities include technical leadership, architecture collaboration, API and framework development, refactoring, performance optimization, cloud solution delivery, Agile team guidance, mentoring, and establishing engineering standards. The role requires designing scalable systems that support regulatory needs and customer experiences.

Designs, develops, and operates enterprise integration solutions connecting applications, APIs, cloud services, and business platforms. Leads integration architecture, reusable frameworks, automation, observability, resilience, and scalability across payment-network systems. Partners with product owners and enterprise architects, evaluates technologies and vendors, supports Agile delivery, and mentors engineers while modernizing client-facing capabilities across marketing, sales enablement, contract management, and due diligence.

Lead product management for mission-critical Capital One customer service and card platforms. Develop scalable, data-driven, technology-enabled solutions across areas such as intelligent routing, recoveries, fraud decisioning, document management, agent servicing, and system observability. Translate customer and business needs into product strategy, prioritize opportunities, solve complex problems, manage risks, and align cross-functional teams to deliver resilient digital experiences.

Leads technical vision and architecture for Card Tech while remaining hands-on in software development. Modernizes monoliths into microservices and event-driven platforms, establishes API and design standards, ensures scalable and secure implementations, and mentors engineering teams. The role requires expertise in cloud computing, data architecture, distributed systems, enterprise architecture, and AI-native development, along with leadership of cross-divisional initiatives and talent recruitment.

Leads large-scale full-stack engineering initiatives, including distributed microservices and cloud-native systems. Provides technical leadership across teams, shapes architecture and platform roadmaps, mentors engineers, and drives reliable, high-performance solutions. Works with product leaders and architects while using modern programming languages, databases, cloud platforms, containers, APIs, CI/CD, infrastructure as code, observability, and AI-assisted development tools.

Leads technical vision and architecture for high-volume payment systems. Designs scalable, resilient distributed platforms, modernizes monoliths into microservices and event-driven architectures, establishes API and coding standards, and drives cross-domain engineering initiatives. Provides hands-on technical leadership, mentors engineers, communicates architecture decisions, and advises senior leaders on performance, scalability, operability, cloud, and data architecture.

Lead data product strategy, standardization, and governance for card correspondence production. Own improvements to reconciliation, self-healing controls, production quality, cost, and supplier SLAs. Partner with analysts, product teams, platform tenants, and suppliers to develop customer-backed roadmaps and connect production data across the enterprise. Apply human-centered design, business focus, technology-driven decision-making, integrated problem solving, and transformational leadership.

Designs, develops, and operates enterprise integration solutions connecting applications, APIs, data sources, and cloud platforms. Leads complex integrations across Salesforce, GCP, and other systems; defines integration standards and reference architectures; ensures scalability, resilience, availability, security, and observability; collaborates with product, software, data, infrastructure, and architecture teams; and mentors engineers while advancing automation and modern engineering practices.

Performs financial reporting and analysis, including budgeting, forecasting, variance analysis, financial modeling, and P&L management. Coordinates financial data across departments, validates data integrity, runs and analyzes models, and communicates insights to leadership. Develops executive presentations, supports ad hoc requests and special projects, collaborates on financial systems, and independently prioritizes workload.

Lead Counsel for Capital One Shopping, overseeing legal support for business operations, providing legal advice across various teams, and managing a team of attorneys.

Designs and leads scalable batch and real-time data pipelines supporting AI/ML applications, LLMs, RAG workflows, predictive models, and executive data products. Responsibilities include data architecture, feature stores, governance, security, lineage, performance and cost optimization, and cross-functional technical leadership. The role partners with data scientists, program managers, executives, and engineering teams to deliver reliable enterprise data solutions.

Provides onsite technology support for an enterprise workforce, focusing on end-user support, laptop and mobile device troubleshooting, incident and change management, endpoint management, monitoring, escalation, knowledge documentation, and operational automation. The role supports Windows and Mac environments, networking, scripting, infrastructure, business controls, and service improvement while maintaining strong customer service and collaboration.

Lead strategy and analytics for US card products: develop product, pricing, marketing and credit-risk strategies; own business outcomes, manage teams, coordinate cross-functional delivery, and drive data-driven decisions to improve growth and profitability.

Leads software engineering and architecture for Card Tech, combining hands-on development with technical mentorship. Defines technical vision, modernizes monoliths into microservices and event-driven platforms, establishes API and design standards, and drives scalable, secure, operable solutions. Partners across divisions, mentors senior engineers, evaluates AI-generated code, and leads architectural strategy and engineering excellence initiatives.

Lead consumer bank core deposits forecasting and savings economics, combining quantitative modeling, financial analysis, and business strategy to improve portfolio growth and profitability. Manage analysts, develop product and pricing strategies, guide marketing and credit-risk insights, oversee business requirements and concurrent initiatives, and partner with Data Science, Analytics, Finance, Product, Marketing, IT, Sales, and Operations. Drive strategic planning, executive decisions, talent development, and cross-functional execution.

Lead technical vision and software architecture for Card Tech while contributing production-ready code. Design scalable, fault-tolerant distributed systems and API platforms, ensure performance and operability, leverage cloud-native and AI-enabled development tools, mentor engineers, recruit talent, and promote engineering excellence across the organization.

Leads cybersecurity capability advancement, governance, risk assessments, control monitoring, and remediation tracking. Analyzes cyber and fraud intelligence data to produce risk indicators, metrics, dashboards, and actionable insights. Drives automation for security workflows, presents risk trends to senior leaders, supports incident analysis, and mentors cybersecurity associates. The role requires expertise in cybersecurity frameworks, cloud environments, security tooling, cyber-enabled fraud investigations, database querying, programming, and regulated-industry risk management.

Build, deploy, scale, and operate production machine learning models and infrastructure. Responsibilities include developing ML applications, optimizing models and data pipelines, managing cloud-based distributed systems, automating testing and deployment, monitoring production models, and applying responsible AI practices. The role collaborates with Product and Data Science teams in an Agile environment and uses technologies such as Python, PyTorch, Spark, Kubernetes, and cloud platforms.

Manage product strategy and delivery for an enterprise AI/ML feature platform. Lead cross-functional teams, translate business and customer needs into scalable technology solutions, define success metrics, and enable developers and data scientists to accelerate machine learning development. Explore emerging AI technologies, support agentic workflows, reduce time-to-market, and drive measurable business impact.