Jobs at Capital One

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and full-stack systems. Responsibilities include designing service boundaries, developing APIs, establishing engineering standards, improving system performance, reducing technical debt, mentoring engineers, and shaping technology strategy. The role uses modern programming languages, AWS, databases, containers, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Build, deploy, scale, and monitor production machine learning models and infrastructure. Responsibilities include developing ML applications, optimizing algorithms and data pipelines, operating distributed systems and cloud services, automating testing and deployment, maintaining models, and applying responsible AI, governance, security, and explainability practices. The role collaborates with Product, Data Science, and Agile engineering teams.

Leads product management strategy and execution, reimagining customer experiences through technology and identifying value-creation opportunities. Applies customer-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership principles. Directs cross-functional teams, translates business strategy into consumer-facing digital products, manages product risks, and drives organizational alignment and sustainable outcomes.

Build, deploy, scale, and maintain production machine learning models and infrastructure. Responsibilities include model development, feature selection, tuning, validation, data pipeline construction, cloud deployment, Kubernetes operations, CI/CD, monitoring, responsible AI, and production troubleshooting. The role collaborates with Product, Data Science, and Agile engineering teams to deliver resilient large-scale AI solutions.

Build and lead full-stack software engineering projects using Java, AWS, distributed microservices, cloud platforms, databases, APIs, and modern front-end technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, reduce technical debt, improve performance, and influence long-term technology strategy.

Manage full lifecycle delivery of digital platform programs and projects within the Global Payment Network PMO. Coordinate cross-functional product, technology, operations, and process teams; manage dependencies, risks, scope, resources, governance, communications, escalations, and stakeholder engagement. Lead PMO routines, reporting, Jira data reconciliation, regulatory compliance, and continuous improvement across domestic and international eCommerce and tokenization initiatives.

Executes risk-based compliance control testing across business lines, focusing on privacy and enterprise services. Analyzes test data, validates controls, documents findings, reviews peer testing, manages schedules, identifies process improvements, and presents final reports. The role requires collaboration with compliance advisors, risk offices, and business partners, along with knowledge of international privacy regulations and strong analytical and communication skills.

Own and prioritize product roadmaps for business cards and payments products. Translate business epics into features and user stories, define acceptance criteria, assess customer and business needs, and collaborate with designers, technologists, data scientists, and stakeholders in an agile environment. Research emerging technologies, develop customer-focused digital features, manage product platforms, communicate roadmaps, and drive cross-functional teams toward MVP delivery and business outcomes.

Lead analytics for US Card: identify business opportunities, build and test models, support product/pricing and marketing, manage credit risk analysis, drive implementation, and partner with IT, Sales, Operations, and Finance.

Leads the PMO and Product Operations function for a 200-person organization, owning operating models, capacity planning, prioritization, governance, reporting, dependency management, and execution standards. Builds scalable processes, improves efficiency, aligns cross-functional stakeholders, and translates strategy into executable plans. Manages and develops program managers, project managers, and operations associates while providing senior leadership with visibility into delivery health, risks, and tradeoffs.

Advance risk and operational strategy for Business Cards and Payments by overseeing regulatory compliance, governing GenAI implementation, and managing the LAUNCH change initiative. Partner with business, risk, and cross-functional stakeholders to improve process maturity, automate workflows, apply data-driven insights, monitor implementation progress, and ensure adherence to well-managed practices. The role requires autonomous prioritization, influence across teams, and modernization of risk and control processes.

Design, architect, and deliver resilient, scalable full-stack SaaS solutions using distributed microservices and cloud-native technologies. Build and maintain front-end and back-end systems, leverage relational and NoSQL databases, containerization, and cloud services, and promote engineering excellence. Collaborate with architects and product managers to deliver secure, robust customer experiences while improving availability, resilience, and scalability.

Manage accounting, budgeting, statutory compliance and audits; coordinate direct and indirect tax assessments; lead process-improvement projects and advanced initiatives (APAs, ESOPs, digitization); partner with global stakeholders to implement enterprise projects at the India entity level.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Design service boundaries, APIs, reusable frameworks, and scalable systems using AWS and modern programming languages. Establish engineering standards, improve performance, reduce technical debt, and support operational excellence across Agile teams. Mentor engineers, evaluate emerging technologies, contribute to long-term technology strategy, and deliver financial technology solutions supporting regulatory and enterprise needs.

Designs, develops, and supports complex Workday HCM integrations across HR modules including HCM, Recruiting, Compensation, Payroll, and Benefits. Uses SOAP, REST, WSDL, XML, XSLT, Workday Studio, and automation workflows to deliver resilient solutions. Responsibilities include troubleshooting, security, data analysis, process improvement, testing, code reviews, stakeholder collaboration, vendor coordination, and leading integrators and configurators through Agile delivery.

Leads global tax provision, financial statement and SEC reporting, tax forecasting, effective tax rate and deferred tax management, internal controls, and tax accounting for acquisitions and divestitures. Advises senior tax leadership, manages tax credit capacity projections, ensures SOX compliance, and leads a team of three tax professionals.

Leads technical vision and hands-on engineering for shopping platforms, including modernization of monoliths into microservices and event-driven systems. Defines architecture, API standards, and long-term platform strategy; ensures performance, scalability, operability, and implementation quality. Mentors engineers, drives engineering excellence, contributes to cross-divisional initiatives, and provides technical guidance across the organization. Requires extensive experience in software engineering, solution and enterprise architecture, cloud computing, data architecture, distributed systems, and technical leadership.

Lead and mentor engineering teams building cloud-based, full-stack solutions with distributed microservices. Design service boundaries, APIs, reusable frameworks, and robust systems using modern programming languages, databases, containers, and cloud platforms. Establish engineering standards, improve system performance, reduce technical debt, support Agile delivery, troubleshoot cloud environments, and influence long-term technology strategy.

Leads an AI engineering team building scalable, responsible generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and governance. Establishes technical strategy, optimizes production AI systems for cost and performance, manages cloud deployments, translates enterprise goals into roadmaps, and develops engineering talent.

Lead full-lifecycle executive recruiting for technology roles from VP through EVP. Advise senior business leaders, develop search strategies, interpret technology talent-market intelligence, manage candidate cultivation and complex negotiations, and coordinate with HR, Compensation, Legal, Risk, and Chiefs of Staff. The role also involves mentoring recruiting teammates, improving talent acquisition processes, and delivering a seamless executive candidate and onboarding experience.