Capital One

Full-stack Engineer

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems for 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
• 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, setting 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, 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

Operations

• Create strategy and lead a team through high priority projects for the company
• Collaborate with leaders to influence results impacting the company’s bottom line
• Lead the Money Movement team, including Settlement, Billing, Incentives, Disputes, and ownership of the Supplier Strategy supporting PULSE Operations
• Lead moderate-sized teams driving complex projects and programs through strategic direction
• Design, develop, and manage project plans in a complex, dynamic environment
• Ensure projects are delivered on time and on budget while managing risk
• Partner cross-functionally with project customers to provide strategic and tactical thought partnership
• Build and maintain relationships with key stakeholders to ensure delivery of commitments
• Use influencing skills to drive project and program efforts
• Establish project structure and manage several initiatives simultaneously
• Coach and develop associates through leadership
• Understand project goals, propose effective plans, and leverage data and metrics to deliver results
• Prioritize and toggle between multiple projects with urgency and adaptability
• Collaborate with Capital One's risk management organizations
• Contribute beyond the scope of the role as a team player

Senior Director, Process Manager – PULSE Operations

Data Engineer

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• 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-based data warehousing platforms including 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 robust cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce common 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
• Mentor and elevate peers and junior engineers while contributing hands-on technical expertise
• Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake and Databricks

Machine Learning Engineer

• Design, build, and deliver ML models and components solving real-world business problems
• Collaborate with Product and Data Science teams
• Build and scale multi-tenant platforms for large-scale ML model training and serving
• Inform ML infrastructure decisions using knowledge of modeling techniques, data and feature selection, training, tuning, dimensionality, bias/variance, and validation
• Write and test application code, develop and validate ML models, and automate tests and deployment
• Collaborate in cross-functional Agile teams to create and enhance big data and ML applications
• Retrain, maintain, and monitor production models
• Build or leverage cloud-based architectures and platforms to deliver optimized ML models at scale
• Construct optimized data pipelines feeding ML models
• Apply CI/CD, test automation, and monitoring practices
• Manage code to reduce vulnerabilities and govern models from a risk perspective
• Apply Responsible and Explainable AI best practices

• Design, build, and/or deliver ML models and components solving real-world business problems
• Collaborate with Product and Data Science teams
• Inform ML infrastructure decisions using knowledge of modeling techniques, data and feature selection, training, tuning, dimensionality, bias/variance, and validation
• Write and test application code; develop and validate ML models; automate testing and deployment
• Collaborate in cross-functional Agile teams to create and enhance big data and ML applications
• 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 CI/CD best practices, including test automation and monitoring
• Ensure code is well-managed, models are governed from a risk perspective, and ML follows Responsible and Explainable AI best practices
• Use programming languages such as Python, Scala, or Java
• Work with the GRC team and partners across Capital One to build and deploy AI-powered risk management solutions

• 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 relational and NoSQL databases, Docker, Kubernetes, and AWS services
• Provide technical leadership across Agile teams and set design, development, and operational-excellence standards
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Identify improvement opportunities, reduce technical debt, and enhance system performance
• Influence long-term technology strategy through emerging-tool and practice evaluation in a you-build-it-you-own-it environment

DevOps Engineer

• Define the future of banking in the cloud as a Staff Engineer
• Lead technical contributions and provide expertise across technology, platform, and capability domains
• Articulate and evangelize a technical vision
• Decompose complex problems into practical, operational solutions
• Ensure technical design and implementation quality
• Advise on performance, scalability, and operability
• Manage 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
• Lead cross-divisional projects promoting technology best practices
• Build developer-first reliability platform solutions with automated, real-time infrastructure measurement

Staff Full Stack Engineer, Reliability Engineering

Software Engineer

• Partner with software engineers, designers, and product managers to deliver high-performing, quality features for 100M+ customers
• Provide technical leadership for mobile architecture and design patterns
• Mentor engineers through feedback, code reviews, and platform-specific best practices
• Identify and clear technical obstacles
• Grow and provide subject matter expertise in performance, accessibility, and architecture
• Contribute to mobile architecture decisions, API design reviews, and reusable component development
• Lead the design and development of client Backend-for-Frontends (BFFs) and Server-Driven UI (SDUI) architectures
• Lead engineering practices, including feature flags and staged rollouts
• Champion adoption of agentic AI tools and AI-native development practices
• Make hands-on technical contributions using advanced mobile platform capabilities and UI patterns
• Establish high standards for coding, testing, performance, accessibility, and user experience

Mobile Engineer 4 – Android

Product Analyst

• Partner with Consumer and Developer Experience (CDX) leaders to answer strategic questions using a consulting-style model
• Lead workstreams on priority strategic initiatives, such as AI transformation
• Support the intelligence unit with analytics, landscape assessments, and thematic deep dives
• Set the vision for long-term product innovation
• Partner with engineering to deliver product prototypes
• Establish trusted relationships with key internal and external stakeholders and focus on customer satisfaction
• Contribute to CDX strategic capabilities by developing trainings
• Invent and spread AI solutions that improve work efficiency, quality, and enjoyment

Senior Business Analyst, Product Strategy

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 of production AI systems
• 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 for technical consistency and AI engineering standards compliance
• Mentor Principal and Manager-level AI engineers and foster cross-domain learning

AI Engineer 5 – MLX, Agentic AI, Gen AI platform Services

Risk

• Lead the Commercial Bank Policy Office by writing, updating, and socializing relevant policies, standards, and procedures
• Support Regulatory Change Management by researching, analyzing, and documenting impacts of new or changed Federal and State laws, rules, regulations, and resulting legal requirements
• Assist the Commercial Bank Cross Border Banking program by assessing risks associated with foreign borrowers and regulatory requirements
• Support International Risk through Country Risk Assessments and drafting Country Exit Plans for in-scope countries
• Provide comprehensive support for strategic reporting routines, ensuring metrics are accurate and actionable for senior executive stakeholders
• Lead daily task execution across the team’s scope, ensuring consistent delivery against project milestones and operational requirements
• Serve as the primary coverage resource for key team functions during periods of transition or leave
• Develop and document a horizontal engagement model clarifying roles, interactions, and responsibilities across team functions
• Collaborate with Commercial Risk, Compliance, Legal, and groups across the organization

Senior Risk Associate – Risk, Infrastructure, Governance

• 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 including 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 SLOs 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

AI Engineer 4, MLX, Agentic AI, Gen AI platform Services

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems
• 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
• Build and own Checkout and “My Trips” experiences within Capital One Travel
• Unify checkout experiences across flights, hotels, rental cars, vacation rentals, activities, and cruises
• Use programming languages, databases, container orchestration, and AWS tools and services to build solutions
• 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 enhance 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 4, Java, Scala, AWS

• Lead a portfolio of diverse technology projects and a team of developers building distributed microservices and full-stack systems
• Create solutions that meet the company's regulatory needs
• Mentor engineering talent and develop Lead Engineers and engineering leads
• Stay current with technology trends, experiment with and learn new technologies, and participate in internal and external technology communities
• Collaborate with digital product managers to deliver robust cloud-based solutions supporting financial empowerment
• Lead teams using modern programming languages, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS services
• Lead multiple Agile engineering teams or programs and provide strategic direction for large-scale, cross-functional initiatives
• Partner with product, architecture, and platform leaders to define multi-year technology roadmaps and investment priorities
• Build succession plans and scale leadership capability across teams
• Align engineering execution with enterprise goals and influence portfolio-level decisions and trade-offs
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
• Occasionally code or evaluate code

Senior Full-stack Engineer

Insurance

• Utilize data management metrics and insights to influence senior business leaders
• Apply data governance processes and controls to proactively mitigate risks
• Provide strategic program leadership and drive program alignment in a complex regulated environment
• Lead large-scale Risk Management Program Management/Governance
• Design, develop, and manage risk management-focused project plans
• Ensure projects are delivered on time and on budget while managing risk
• Communicate program requirements to internal and external stakeholders
• Partner cross-functionally to drive project delivery
• Report program status, risks, issues and decisions across the company
• Lead critical assessments on risk categories
• Build relationships with key stakeholders to deliver commitments
• Consult strategically with Accountable Executives and partner teams
• Problem-solve with cross-functional teams on issues and opportunities
• Design and drive a transformation vision
• Identify opportunities for continued business improvement
• Improve policies, processes, controls, and procedures
• Assist with audits and regulatory exams
• Coach and develop direct reports, extended team members and third-party resources

Full-stack Engineer

Senior Director, Process Manager – PULSE Operations

Data Engineer

Machine Learning Engineer

Machine Learning Engineer

Full-stack Engineer

Staff Full Stack Engineer, Reliability Engineering

Mobile Engineer 4 – Android

Senior Business Analyst, Product Strategy

AI Engineer 5 – MLX, Agentic AI, Gen AI platform Services

Senior Risk Associate – Risk, Infrastructure, Governance

AI Engineer 4, MLX, Agentic AI, Gen AI platform Services

Full-stack Engineer 4, Java, Scala, AWS

Senior Full-stack Engineer

Senior Director, Card Risk Management