Careers at Capital One

Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology) At Capital One, you’ll be part of a group of makers, breakers, doers, and disruptors who love solving real problems and meeting real customer needs. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most critical enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company while delivering capabilities that exemplify those standards. We are seeking a forward-thinking Full-Stack Engineer 4 to spearhead the architecture, development, and scaling of core data infrastructure and full-stack enterprise systems. In this role, you will lead a portfolio of high-impact technology projects, driving major transformations by combining traditional big data architectures, microservices, and AI-native engineering workflows in a "you build it, you own it" culture. What You’ll Do Architecture & Core Development Design, build, and maintain robust, highly scalable data pipelines, distributed microservices, and full-stack applications using Java, Scala, Python, Go, Node.js, and TypeScript. Engineer backend systems capable of ingesting, processing, and serving billions of customer data points with low latency, high availability, and strong data consistency to meet critical business and regulatory needs. Partner with architects to define service boundaries, integration patterns, and reusable frameworks across cloud-based environments. Cloud & Big Data Infrastructure Build cost-effective, high-throughput cloud architectures leveraging AWS services (EMR, Glue, Lambda, Step Functions, S3, RDS, DynamoDB, Kinesis). Write optimized SQL queries across Open Source RDBMS and NoSQL systems. Tune Apache Spark jobs (memory configuration, data partitioning, DAG optimization) to minimize compute costs and maximize pipeline performance. AI Integration & Autonomous Workflows Drive engineering velocity by integrating AI coding assistants and autonomous tooling (Claude Code, GitHub Copilot, Cursor, OpenAI Canvas) into daily development, testing, and refactoring workflows. Design backend architectures and APIs that interface with AI/ML models and LLM endpoints for intelligent data enrichment and automated pipeline monitoring. Technical Leadership & Operational Excellence Lead, mentor, and inspire cross-functional teams of backend, data, and full-stack engineers. Set technical standards for design, development, human-in-the-loop AI coding, and code reviews. Implement robust monitoring, alerting, and CI/CD pipelines to ensure data quality, pipeline integrity, and zero-downtime deployments. Proactively identify system bottlenecks, execute targeted refactoring, and reduce technical debt across distributed systems. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related technical field. 7+ years of professional software engineering experience coding in two or more languages: Java, Scala, Python, Go, Rust, C#, or JavaScript/TypeScript. 4+ years of experience with Advanced SQL (Open Source RDBMS) and NoSQL database management systems. 4+ years of experience creating synchronous and asynchronous APIs, alongside open-source frameworks. 3+ years of hands-on experience building and troubleshooting systems in cloud environments (AWS, GCP, Azure). 3+ years of experience with CI/CD pipelines, Infrastructure as Code (IaC), automated testing frameworks, and Git-based version control (Git, GitHub, Bitbucket). 2+ years of hands-on experience in Apache Spark performance tuning (memory configuration, partitioning, DAG optimization). 2 years of Hands-on experience with container orchestration tools, including Docker and Kubernetes. 1+ year of experience leading cross-functional engineering initiatives, establishing team coding standards, and mentoring engineers. 1+ year of experience leveraging observability platforms to identify and eliminate performance bottlenecks in distributed systems. Proficiency in leveraging AI-native development tools and interactive AI environments (Claude Code, GitHub Copilot, Cursor, OpenAI Canvas) beyond basic code completion. At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 Richmond, VA: $179,400 - $204,700 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 5 Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: 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 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, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Provide technical leadership across multiple teams, shaping 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 Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience in software engineering (Internship experience does not apply) At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 5+ years of experience contributing to open source frameworks 5+ years of experience with front-end JavaScript or TypeScript frameworks 5+ years of experience creating synchronous and asynchronous APIs 4+ years of experience with database and database management systems 4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 4+ years of experience troubleshooting technical issues within cloud environments 3+ years of experience mentoring senior engineers and driving professional development within technical teams 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies 1+ year of experience establishing and enforcing coding standards and design patterns across teams 1+ year of experience implementing observability and reliability practices at scale Experience leveraging modern AI-based coding tools and IDE copilots Experience influencing technology strategy at the portfolio or business unit level Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Full-stack Engineer 5 McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 5 Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: 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 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, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Provide technical leadership across multiple teams, shaping 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 Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience in software engineering (Internship experience does not apply) At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 5+ years of experience contributing to open source frameworks 5+ years of experience with front-end JavaScript or TypeScript frameworks 5+ years of experience creating synchronous and asynchronous APIs 4+ years of experience with database and database management systems 4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 4+ years of experience troubleshooting technical issues within cloud environments 3+ years of experience mentoring senior engineers and driving professional development within technical teams 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies 1+ year of experience establishing and enforcing coding standards and design patterns across teams 1+ year of experience implementing observability and reliability practices at scale Experience leveraging modern AI-based coding tools and IDE copilots Experience influencing technology strategy at the portfolio or business unit level Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Full-stack Engineer 5 McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

WeWork Reforma Latino (97001), Mexico, Ciudad de Mexico, Ciudad de Mexico Senior Director, Software Engineering Capital One is seeking an experienced software engineering leader, Senior Director, Software Engineering , to help us build and grow our Technology Site in Mexico City. Based in Mexico City, the Senior Director of Software Engineering will be responsible for building and leading a team of software engineers who focus on software delivery experience tools to make life easier for engineers to engineer; who focus on cloud governance for compliance, risk reduction, automation and drive standardization towards cloud native architectures; who focus on well managed experiences to empower leaders and application teams to have great visibility and control of their well-managed activities. As a Senior Director of Software Engineering, you will be responsible for working with senior Technology and Business Executives, understanding their Vision and translating it into Execution Strategy. You will be guiding software engineering teams that are responsible for the design and delivery of high quality software for critical business features, built on AWS to the latest technology standards. You will collaborate with Architecture, Card Product, Card Technology and Enterprise stakeholders to drive this critical project forward. You will provide Technology thought leadership and help raise the talent bar by recruiting and hiring top engineering talent. You will also work with product owners to articulate benefits of proposed solutions; influence the technical roadmap; and help business prioritize work. As a Sr. Director of Software Engineering, you will: Lead and inspire a team of 50-70 high-quality software engineers Support an aggressive recruiting agenda to assess and staff a large (100+ person) high-quality software engineering organization Provide thought leadership and guidance to our software engineers, and our product partners, with a focus on the software delivery experience, cloud and risk engineering and well managed Encourage innovation, cutting-edge technologies, and out-of-the-box thinking Lead the craftsmanship, availability, resilience, and scalability of your solutions Serve as the primary point of contact and proactively manage relationships with Capital One US Tech leaders to effectively align well-managed resources and sequence needs in support of strategic business and Tech priorities Bring a passion to stay on top of tech trends, including learning and experimenting with new technologies, participating in internal and external technology communities, and mentoring members of the engineering community Lead efforts to deploy new and existing applications into AWS environments Support continuous improvements processes and shift-left well-managed activities by enabling the developer community through tooling and automation The successful candidate will be a seasoned technology professional with significant engineering experience. This individual has the capacity to exert influence at the enterprise level and lead experts, while also possessing the qualities of a highly-skilled technologist who approaches problem solving with a true engineering mindset. This is a great opportunity for someone who craves a strategic role that will enable the Product and Tech objectives. You will enjoy this role if you feel at home in the cloud and are an expert in designing cloud-native solutions, are able to take a critical lens to buy vs. build decisions, and are not afraid of implementing custom-built or open-source solutions alongside traditional vendor products. Behavioral Competencies Proven track record of delivering results and influencing stakeholders in a large, matrixed environment Exceptional leadership skills, marked by poise, positive influence, and the ability to drive change Strong facilitation skills and proven ability to build relationships with multiple stakeholders with different agendas at all levels, including executive managers and vendors Intellectually curious; interested in understanding and experimenting with cutting-edge technologies Be a talent magnet; quickly develop a brand as a leader who holds an extremely high talent bar Ability to establish credibility with, as well as motivate and mentor, highly technical engineers Posses a management style that is collaborative, energetic, results-oriented, and innovative Strong team leader who has well-honed coaching skills and the ability to inspire and influence others Basic Qualifications Bachelor’s Degree At least 15 years’ experience in a technical role, i.e. data and software engineering At least 5 years of executive technology leadership experience At least 5 years of experience driving architecture and engineering excellence at enterprise scale At least 5 years of experience with public cloud technologies Fluent in Spanish and English, both spoken and written Preferred Qualifications Master’s Degree in STEM (Science, Technology, Engineering, Math) field 7+ years of experience with cloud architecture, cloud computing, data technologies, DevOps technologies, open-source integrations, and various software design architectural patterns 4+ years of software engineering experience with a financial services, banking, or credit card company Willingness to travel occasionally to support key initiatives, as well as attend meetings, conferences, or training At Capital One, we respect individual differences in culture, religion, and ethnicity. Likewise, we promote equal opportunities and development for all personnel. In the hiring process, we seek to provide equal employment opportunities to candidates, regardless of race, color, religion, gender, sexual orientation, marital or civil status, national origin, disability, or any other situation protected by federal, state, or local laws. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, any position posted in the Philippines is for Capital One Service Corp (COPSSC), and any position posted in Mexico is for Capital One Technology Labs Mexico.

Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description- We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. Why this role: You’ll help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences. Role Description- In this role, you will: Design and develop state-of-the-art recommender systems using transformers, large language models (LLMs), and reinforcement learning. Advance personalization through sequence modeling, multi-modal learning, and contextual decision-making (e.g., contextual Multi-Armed Bandits). Build and fine-tune foundation models trained on large-scale customer interaction data. Apply reinforcement learning to optimize long-term user engagement and business outcomes. Build state-of-the-art evaluation frameworks to measure the efficacy of our campaigns and recommendation systems. Collaborate with engineering and product teams to deploy scalable, production-grade, low-latency systems. Drive innovation in emerging areas such as generative recommendations, conversational systems, and cross-domain personalization (e.g., travel, shopping). The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Strong background in machine learning, deep learning, and recommender systems. Hands-on experience with transformers, LLMs, or reinforcement learning. Experience working with large-scale datasets and distributed training. Solid programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow). Ability to translate research into impactful, real-world systems. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years’ experience in Python, Scala, or R for large scale data analysis At least 4 years’ experience with machine learning At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $179,400 - $204,700 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description- We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. Why this role: You’ll help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences. Role Description- In this role, you will: Design and develop state-of-the-art recommender systems using transformers, large language models (LLMs), and reinforcement learning. Advance personalization through sequence modeling, multi-modal learning, and contextual decision-making (e.g., contextual Multi-Armed Bandits). Build and fine-tune foundation models trained on large-scale customer interaction data. Apply reinforcement learning to optimize long-term user engagement and business outcomes. Build state-of-the-art evaluation frameworks to measure the efficacy of our campaigns and recommendation systems. Collaborate with engineering and product teams to deploy scalable, production-grade, low-latency systems. Drive innovation in emerging areas such as generative recommendations, conversational systems, and cross-domain personalization (e.g., travel, shopping). The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Strong background in machine learning, deep learning, and recommender systems. Hands-on experience with transformers, LLMs, or reinforcement learning. Experience working with large-scale datasets and distributed training. Solid programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow). Ability to translate research into impactful, real-world systems. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years’ experience in Python, Scala, or R for large scale data analysis At least 4 years’ experience with machine learning At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $179,400 - $204,700 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Data Scientist -Advanced Recommenders and Personalization Systems (Transformers, LLMs & Reinforcement Learning) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description- We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. Why this role: You’ll help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences. Role Description- In this role, you will: Design and develop state-of-the-art recommender systems using transformers, large language models (LLMs), and reinforcement learning. Advance personalization through sequence modeling, multi-modal learning, and contextual decision-making (e.g., contextual Multi-Armed Bandits). Build and fine-tune foundation models trained on large-scale customer interaction data. Apply reinforcement learning to optimize long-term user engagement and business outcomes. Build state-of-the-art evaluation frameworks to measure the efficacy of our campaigns and recommendation systems. Collaborate with engineering and product teams to deploy scalable, production-grade, low-latency systems. Drive innovation in emerging areas such as generative recommendations, conversational systems, and cross-domain personalization (e.g., travel, shopping). The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Strong background in machine learning, deep learning, and recommender systems. Hands-on experience with transformers, LLMs, or reinforcement learning. Experience working with large-scale datasets and distributed training. Solid programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow). Ability to translate research into impactful, real-world systems. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 year of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics At least 1 year of experience working with AWS At least 4 years’ experience in Python, Scala, or R for large scale data analysis At least 4 years’ experience with machine learning At least 4 years’ experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $179,400 - $204,700 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science McLean, VA: $197,300 - $225,100 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 4 (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: 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 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, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of 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 Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $179,400 - $204,700 for Full-stack Engineer 4 McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 New York, NY: $215,200 - $245,600 for Full-stack Engineer 4 San Jose, CA: $215,200 - $245,600 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 4 (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: 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 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, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of 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 Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $179,400 - $204,700 for Full-stack Engineer 4 McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 New York, NY: $215,200 - $245,600 for Full-stack Engineer 4 San Jose, CA: $215,200 - $245,600 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 4 (Remote-Eligible) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: 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 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, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of 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 Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment Capital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $179,400 - $204,700 for Full-stack Engineer 4 McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 New York, NY: $215,200 - $245,600 for Full-stack Engineer 4 San Jose, CA: $215,200 - $245,600 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).