Capital One

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers working with 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 internal and external technology communities
• Mentor members of the engineering community
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans
• 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 across Agile teams and 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 improve system performance
• Influence long-term technology strategy by evaluating emerging tools and practices in a ‘you build it, you own it’ environment

Full Stack Engineer

Product Manager

• Drive the vision and execution of a complex suite of data platforms supporting AML, Compliance, and broader risk management
• Lead a large, multi-disciplinary group of product managers and data analysts
• Build the shared data foundation powering the product portfolio
• Architect scalable solutions that ingest, translate, and standardize complex data across Capital One's Lines of Business
• Transform disparate inputs into unified, high-quality enterprise data assets
• Partner with upstream data producers, downstream consumers, ontologists, product leaders, and senior business leaders
• Solve large-scale data challenges across multiple applications
• Demonstrate human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership

Senior Director, Product Management, Risk Data

Software Engineer

• Lead, manage, and grow multiple teams of product-focused software engineers
• 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, including succession planning, skill development, and equitable opportunity
• Mentor and guide engineers’ professional and technical development
• Work with product managers to define application capabilities, testing scenarios, and customer experiences
• Continuously improve software engineering practices
• Design, develop, test, implement, and support full-stack technical solutions across Agile teams
• Lead the craftsmanship, availability, resilience, and scalability of solutions
• Stay current with technology trends, experiment with new technologies, and participate in technology communities
• Encourage innovation, inclusion, teamwork, self-organization, and diversity
• Improve engineering velocity across the organization
• Lead deployment of new and existing applications into AWS environments

Senior Director, Ad Tech Engineering

Client Services Representative

• Act as project manager and primary point of contact for new client and new product setups
• Define and manage implementation activities
• Create and manage implementation project plans
• Coordinate internal, client, and vendor stakeholders for timely execution
• Coordinate and execute product testing activities
• Liaise with Commercial Bank business partners and external vendors
• Lead client training activities for new products and services
• Learn and become an expert in Capital One credit, deposit, and treasury management products
• Resolve client needs proactively and reactively
• Execute duties according to policies, standards, procedures, turnaround times, and quality levels
• Escalate constraints and concerns to management
• Investigate complaints, problems, and issues; identify root causes and sustainable solutions
• Research clients’ industries, businesses, and banking needs
• Advocate for client needs with internal stakeholders
• Develop effective solutions and recover service issues to delight clients
• Represent Treasury Management Operations with internal partners and clients
• Develop treasury management solutions using subject matter expertise and research
• Work on requested projects
• Own individual development

Senior Associate, Client Service Onboarding

Data Scientist

• Partner with cross-functional teams of data scientists, AI/ML engineers, and product managers to deliver enterprise products
• Design AI/ML models and build solutions for agentic AI products
• Define long-term strategy and analyze and optimize ecosystem impact
• Drive business value at enterprise scale
• Design experiments, including A/B tests
• Model telemetry and turn results into AI strategy and guidance for C-suite leadership
• Use Python, Conda, AWS, H2O, Spark, and other technologies to analyze large volumes of numeric and textual data
• Build machine learning models through design, training, evaluation, validation, and implementation
• Translate complex data science work into tangible business goals
• Research and evaluate emerging technologies and apply state-of-the-art methods
• Retrieve, combine, and analyze data from varied sources and structures
• Develop talent and challenge conventional thinking with stakeholders

Director, Data Science

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Create solutions meeting regulatory needs
• Stay current with technology trends 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
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Drive end-to-end design and implementation of large-scale, distributed, cloud-native systems
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

Senior Full-stack Engineer, Angular/TypeScript, Python, AWS

Manager

• Produce a quarterly expectation for expected lifetime credit losses and the allowance for loans not expected to be repaid under GAAP accounting standards
• Create rigorous credit loss forecasts shared with executive-level senior stakeholders
• Work with Accounting/Finance, Capital Risk, firstline business teams, and other cross-functional partners
• Gain familiarity with underlying models and data
• Engage with firstline teams across lines of business to track business strategy changes
• Assess internal and external trends to derive insights into credit performance
• Identify opportunities to improve processes and forecasts
• Develop business strategies supporting growth, profitability, and competitive success
• Potentially manage and develop 1–2 analysts; coach and mentor associates
• Develop product and pricing strategies and lead product-level modeling and analytics
• Lead direct-to-consumer marketing efforts and build targeted customer insights
• Create risk models and test hypotheses through monitoring and analysis
• Manage delivery of business intent, build business requirements, and execute product strategy
• Oversee multiple projects and programs concurrently
• Partner with IT, Sales, Operations, Finance, and other Capital One teams to improve quality, volume, service, and profitability

Business Manager – Card Loss Forecast and Allowance

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Create solutions that meet 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
• Use programming languages, databases, container orchestration services, and AWS tools and services
• Provide technical leadership across multiple teams
• Shape system architecture and long-term technology direction
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

Full-stack Engineer 5, Python, AWS, Typescript

Data Engineer

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Influence a team of developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, Databricks, and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data professionals
• 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 reuse
• Represent the data engineering team and communicate technical concepts and data outcomes to stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards, including encryption and fine-grained access control, to support privacy compliance

Data Engineer 4 – Manager, IC

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehouses 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 supporting millions of Americans
• 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, while supporting privacy compliance

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems that meet regulatory needs
• Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineers
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting millions of Americans' financial empowerment
• Use Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

Senior Full-stack Engineer 5

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Create solutions that meet Capital One’s regulatory needs
• Stay current with technology trends, experiment with emerging 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 millions of Americans’ financial empowerment
• 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 across Agile teams and establish standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, refactor systems, reduce technical debt, and improve 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 – Intelligent Foundations and Experiences

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Create solutions that meet regulatory needs for Capital One
• Stay current on 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 Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source RDBMS and NoSQL databases, Docker, Kubernetes, and AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture and long-term technology direction
• Lead end-to-end design and implementation of large-scale, distributed, and cloud-native systems with high reliability and performance requirements
• Partner with architects and product leaders to define platform roadmaps and shared-services strategy

Full-stack Engineer, Senior Manager

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 related technologies to analyze large volumes of numeric and textual data
• Build AI foundation models through design, training, evaluation, validation, and implementation
• Conduct applied research and advance AI developments into customer experiences
• Translate complex research and technical work into tangible business goals
• Collaborate with senior researchers to prepare internal technical reports or conference submissions summarizing novel methods or findings

Applied Researcher, Level 4

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud data warehouses 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 robust cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce common data-engineering design patterns across data platforms and pipelines
• 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

Full Stack Engineer

Senior Director, Product Management, Risk Data

Senior Director, Ad Tech Engineering

Senior Associate, Client Service Onboarding

Director, Data Science

Senior Full-stack Engineer, Angular/TypeScript, Python, AWS

Business Manager – Card Loss Forecast and Allowance

Full-stack Engineer 5, Python, AWS, Typescript

Data Engineer 4 – Manager, IC

Data Engineer 4 – Manager, IC

Senior Full-stack Engineer 5

Full-stack Engineer 4 – Intelligent Foundations and Experiences

Full-stack Engineer, Senior Manager

Applied Researcher, Level 4

Data Engineer 4, Python/AWS