Capital One

DevOps Engineer

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like Python, SQL, and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services

Senior Software Engineer – DevOps

Machine Learning Engineer

• Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
• Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
• Lead large-scale ML initiatives with the customer in mind
• Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
• Optimize data pipelines to feed ML models
• Use programming languages like Python, Scala, C/C++
• Leverage compute technologies such as Dask and RAPIDS
• Evangelize best practices in all aspects of the engineering and modeling lifecycles
• Help recruit, nurture, and retain top engineering talent

Distinguished Machine Learning Engineer

Platform Engineer

• 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
• Lead the craftsmanship, availability, resilience and scalability of your solutions
• Stay on top of tech trends, experiment with and learn new technologies

Platform Engineer – Workday

Risk

• Build strong relationships with business and technology partners to become a trusted data risk advisor
• Conduct thorough risk assessments, data process and control design, and advocate for process excellence
• Identify opportunities to embed data risk management best practices within business operations
• Collaborate with Product and Technology teams to ensure data management controls are incorporated into technical product roadmaps
• Perform gap assessments to identify weaknesses in current data management controls/processes and propose actionable recommendations
• Utilize strong verbal and written communication skills to articulate data management risks and communicate progress

Senior Risk Manager – Data Risk Management

Director

• Lead through technical contribution and mentoring internal talent
• Drive strategy and innovation across the engineering ecosystem
• Serve as an authoritative expert on system characteristics
• Act as a role model and mentor within the tech community

Senior Director, Distinguished Engineer – CORE

Account Manager

• Demonstrating proficiency in key areas of Product management
• Obsesses about internal and external customer needs to reimagine and innovate product solutions
• Delivers game-changing outcomes by focusing on leverage and execution excellence
• Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value
• Identifies and resolves complex problems to deliver outcomes while mitigating product risks
• Leads cross functional teams to solve customer problems and drive organizational alignment

Manager, Product Management – Card Partnerships

Backend Engineer

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
• Share passion for staying on top of tech trends, experimenting with and learning new technologies, mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like Go, Python, Lua, SQL, Node, Java, and Groovy, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Lead Software Engineer, Back End

Underwriter

• Perform due diligence on industry and company performance; synthesize research and begin to draw conclusions; may start to lead diligence calls
• Perform thorough financial analysis and identify disparities, risks, and creative ways to mitigate risk
• Prepare financial modeling inputs with little guidance; understand model mechanics and consider overrides or exceptions
• Analyze appropriate structuring options considering collateral and borrower valuation
• Write and prepare majority of the credit approval document; provide meaningful contribution to internal meetings, including deal review and pipeline meetings
• Coordinate and complete closing process requirements
• Begin to shadow more senior underwriters on reviewing and negotiating legal documentation
• Communicate with all external constituents; exhibit a sense of urgency toward meeting client requests
• Prepare term sheets, commitment letters and fee letters with guidance; basic understanding of credit documents
• Demonstrate ownership of a portfolio of existing customers with minimal guidance; may take on more complex or higher volume of accounts
• Complete annual reviews and both material and non-material modifications independently and on time
• Monitor and determine upgrades or downgrades to risk ratings
• Ensure compliance with credit policies and procedures for existing accounts
• Respond to requests from all internal and external stakeholders
• Ensure portfolio data is accurate, timely, and complete to ensure strong quality and reporting capabilities
• Escalate and resolve problem accounts in partnership with other teams and specialists
• Build relationships across function and business to foster collaboration between partner groups
• Mentor and train rotational analysts and new hires
• Participate in internal initiatives to ensure the business is well-managed and operates efficiently

Analyst, Specialty Underwriting, Portfolio Manager

• Design, deploy and optimize WAN/Backbone/Carrier-hotel/Cloud connectivity to support scalable high performance WAN operations.
• Tests, analyzes, performs corrective actions, and restores network equipment and services in a timely and accurate manner to eliminate/reduce application impact.
• Collaborate with various internal stakeholders to stabilize critical network outages.
• Plan, lead high-level, low-level design and implementation of WAN network changes, keeping infrastructure compliant with the latest codes, scaling up/scaling horizontally to meet growing business needs.
• Highest level of escalation for any Network engineering troubleshooting.
• Performs Proof of Concepts, Chaos testing, and creates, maintains, updates support documentation for operations team.
• Collaborate with architects, operations, security teams to ensure high availability and redundancy, DR, and compliance with financial industry standards.
• Deploy 10G/100G Ciena dark-fiber ring, Point-to-Point circuits, Wave Circuits, DIA, AWS & GCP cloud connectivity.
• Develop scripts to support and maintain WAN infrastructure.
• Assist on 24*7 on-call weekly rotation to support network infrastructure and support off-business hours change deployments as needed.
• Uses automation, system tools, open-source solutions, observability and 'security first' principles in daily work.
• Design Network Architecture diagrams using Visio, Lucid Charts.
• Deliver project presentations to help operations team upskilling.
• Lab recreations using Cisco Modelling Labs, VIRL, GNS3 etc.
• Initiates high level solution design approaches, and guides team to achieve desired key software delivery capabilities using automated, coded enterprise and observability.
• Research emerging technologies and solutions to resolve business problems and evangelize the new solution to make it to production.

Senior Platform Engineer – Network Infrastructure

• Oversee daily activities related to corporate card issuance, credit limit management, expense report submission and approvals.
• Monitor expense activity through Finance System and card reporting tools, highlighting themes and trends for LOBs and/or back-office support teams through regular reporting and interactions.
• Identify, implement and execute corporate card and expense process controls - ensuring a well-managed end-to-end process, while driving issue resolution/risk mitigation activities.
• Identify, prioritize and lead process improvement work to streamline the user experience.
• Use data analytics and reporting to provide transparency to senior leadership on process needs and health.
• Coordinating work between multiple areas and working on multiple projects simultaneously; leveraging/influencing business partners to drive results
• Track and resolve process breakdowns, providing transparency on impact to leadership and customers.
• Develop and maintain formal process documentation including procedures.
• Act as a subject matter expert to effectively partner with project customers to achieve desired outcome or improvement by clarifying needs and providing appropriate solutions.

Senior Risk Associate, Card & Expense

• Participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms
• Focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of ML applications
• Design, build, and/or deliver ML models and components that solve real-world business problems, collaborating with Product and Data Science teams
• Inform ML infrastructure decisions using understanding of ML modeling techniques and issues
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code

Lead Machine Learning Engineer

Engineer

• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical and operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
• Continue learning and injecting advanced technical knowledge into our community

Distinguished Engineer, Card Tech

Full-stack Engineer

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Senior Software Engineer, Full Stack – Risk Tech

• Partner with all functions within CTPRR and stakeholders to gain a deep understanding of the third party ecosystem at Capital One
• Work closely with the Cyber Audit and Exam function to develop and maintain a productive and seamless interaction model
• Gather documentation from request for regulatory requests
• Partner with broader Cyber functions and other Capital One stakeholders for input on recommendations for changes to the CTPRR program or the TPRM lifecycle
• Draft responses for external requests that clearly describe details on the items being provided
• Provide recommendations for enhancements to existing processes and program content
• Keep current with industry trends and best practices through participation in external organizations
• Lead efforts to address any issues identified through external reviews of the program
• Participate in on site assessments of third parties during more focused reviews
• Participate or lead ad hoc requests of the program
• Participate with broader program enhancements and ongoing development activity
• Willing to jump in to support any of the program functions when needs arise

Senior Manager, Cyber Third Party Risk Reduction – Program Oversight

Engineering Manager

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services