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Careers at Capital One

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onelogin.comHQ: San Francisco, California, United States

OneLogin is a cloud-based Identity and Access Management (IAM) provider for the modern enterprise, with an industry-leading SSO and identity-management solution. Over 2,000 enterprise customers trust OneLogin to secure and manage identities in cloud, legacy and hybrid environments.

Sector:access managementsoftwareadaptive mfacloud directory servicescloud securitycompliance

All Openings (498)

Ordered by most recently published

Full-stack Engineer 5 (Java, Spring Boot, AWS, CI/CD) (Enterprise Platforms Technology) 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. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. 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 Java 5+ years of experience contributing to open source 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 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. McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5 New York, NY: $250,800 - $286,200 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).

View more...
Software Engineering
Verified5 days ago

Full-stack Engineer 4 (Manager, IC)-EDT

On-sitefull timeMid-LevelVirginia, United States
Apply Now

Full-stack Engineer 4 (Manager, IC)-EDT 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. Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle.This foundation is built on key platforms that manage Capital One’sData Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One’s data platforms. 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 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. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 New York, NY: $215,200 - $245,600 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).

View more...
Software Engineering
Verified5 days ago

Full-stack Engineer 4 (Manager, IC)-EDT

On-sitefull timeMid-LevelNew York, United States
Apply Now

Full-stack Engineer 4 (Manager, IC)-EDT 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. Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle.This foundation is built on key platforms that manage Capital One’sData Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One’s data platforms. 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 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. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 New York, NY: $215,200 - $245,600 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).

View more...
Software Engineering
Verified5 days ago

Full-stack Engineer 5 (Senior Manager, IC)-EDT

On-sitefull timeSeniorVirginia, United States
Apply Now

Full-stack Engineer 5 (Senior Manager, IC)-EDT 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. Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle.This foundation is built on key platforms that manage Capital One’sData Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One’s data platforms. 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. McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5 New York, NY: $250,800 - $286,200 for Full-stack Engineer 5 Richmond, VA: $209,000 - $238,500 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).

View more...
Software Engineering
Verified5 days ago

Full-stack Engineer 5 (Senior Manager, IC)-EDT

On-sitefull timeSeniorNew York, United States
Apply Now

Full-stack Engineer 5 (Senior Manager, IC)-EDT 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. Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle.This foundation is built on key platforms that manage Capital One’sData Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One’s data platforms. 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. McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5 New York, NY: $250,800 - $286,200 for Full-stack Engineer 5 Richmond, VA: $209,000 - $238,500 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).

View more...
Software Engineering
Verified5 days ago

Full-stack Engineer 4 (Manager, IC - Node.js, TypeScript, AWS)

On-sitefull timeMid-LevelVirginia, United States
Apply Now

Full-stack Engineer 4 (Manager, IC - Node.js, TypeScript, AWS) 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 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. McLean, VA: $197,300 - $225,100 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).

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Software Engineering
Verified5 days ago

Lead AI Engineer

On-sitefull timeLead / StaffBengaluru, India
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Voyager (94001), India, Bangalore, Karnātaka Lead AI Engineer At Capital One India, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description : The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Lead and deliver ML/NLP solutions in production environments Leverage LLMs to drive and enhance ML/DS workflows Design and implement Retrieval-Augmented Generation pipelines covering chunking, embedding, retrieval and re-ranking Build, orchestrate and evaluate AI agents with tool use and multi-step reasoning Define and execute evaluation frameworks for generative AI systems Optimize token usage and context window management for cost and performance Train, fine-tune, and serve embedding models for semantic search and retrieval Build and fine-tune transformer-based models for classification, extraction, summarization, and generation Own productionization of ML/AI systems including serving, monitoring and reliability Drive technical direction & spearhead the technical vision and MLOps strategy, establishing standardized frameworks for model deployment, monitoring and automated retraining Basic Qualifications Bachelor's Degree in Computer Science or Engineering At least 8 years of experience in traditional machine learning algorithms, advanced natural language processing , model selection and the machine learning experimentation lifecycle including baseline modeling, iterative improvement and offline or online evaluation At least 5 years of experience engineering and deploying production machine learning and AI systems, including high-throughput model serving, continuous integration and delivery for machine learning, latency optimization and continuous drift monitoring At least 3 years of experience leveraging PyTorch, Hugging Face Transformers, and LangGraph to develop deep learning models and agentic workflows At least 3 years of experience developing, fine-tuning, and serving embedding models using sentence-transformers and modern representation learning stacks At least 2 years of experience in Large Language Model application development, specializing in advanced prompt engineering, model chaining architectures, and external tool integration Preferred Qualifications Master’s Degree in Computer Science or Engineering 3+ years of experience applying statistics, probability theory and experimental design, including hypothesis testing, A/B testing frameworks and causal inference methodologies 3+ years of experience in agentic search and multi-step LLM driven query planning 2+ years of experience architecting and optimizing retrieval pipelines using bi-encoders, cross-encoders and hybrid search techniques like dense and sparse 2+ years of experience in fine-tuning pipelines like LoRA, QLoRA & PEFT 1+ years of experience designing and implementing AI evaluation frameworks using platforms such as RAGAS and DeepEval, alongside custom quantitative metrics 1+ years of experience working with transformer architectures across encoder and decoder paradigms, including BERT, GPT, Llama, and Mistral 1+ years of hands-on experience designing and orchestrating multi-agent frameworks and stateful agentic memory architectures while leveraging AI-powered coding environments like CrewAI, Claude Code, and OpenAI Codex At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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).

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AI / ML & Data Science
Verified5 days ago

Data Engineer 4 (Manager, IC)-Risk Tech

On-sitefull timeMid-LevelVirginia, United States
Apply Now

Data Engineer 4 (Manager, IC)-Risk Tech 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 Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations 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 application development (Internship experience does not apply) At least 2 years of experience in distributed data At least 2 years of experience with SQL At least 2 years of experience with one programming language (Python, Java, or Scala) At least 2 years of experience in data pipeline design and development At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems Preferred Qualifications: 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java 4+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) 4+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks 4+ years of experience designing, implementing, and operating real-time or streaming data pipelines 2+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) 4+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) 4+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) 2+ years of experience working in an Agile development environment 2+ years of experience developing user-centric reusable data products 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 Data Engineer 4 Richmond, VA: $179,400 - $204,700 for Data 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).

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Data Engineering & BI
Verified6 days ago

Full-stack Engineer 4

On-sitefull timeMid-LevelVirginia, United States
Apply Now

Full-stack Engineer 4 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 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. 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).

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Software Engineering
Verified6 days ago

Full Stack Engineer 4- People Tech- GenAI & Agentic Systems (LangChain, LangGraph) 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. People Tech is responsible for the digital transformation and operational excellence of Capital One’s corporate functions. Our core mission is to innovate and transform the Human Experience by providing robust technical solutions for a diverse portfolio, including HR, Legal, Brand, and Global Workplace Services. This mission is powered by our Engineering, Data, and Enablement Towers, which build the scalable platforms and data driven insights necessary for long term stability and security. To ensure we move with purpose, our team connects the dots across the organization, driving architectural consistency and fostering an environment of experimentation. Together, we ensure that People Tech is not just executing tasks, but strategically evolving to meet the future needs of our associates and the enterprise. What You’ll Do: Architect how we lean into LLM-driven capabilities and HRTech innovations to build systems used on an enterprise-scale to optimize HR processes and elevate the global associate experience. Design, build, and deploy autonomous agentic AI solutions and multi-agent workflows that automate complex HR capabilities across our global enterprise footprint. Partner with security, governance, and risk teams to ensure all AI-enabled capabilities and agentic workflows are implemented in a secure, compliant, and well-managed manner. 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 global associate experiences 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 for AI-enabled full stack applications. Partner with architects to define service boundaries, integration patterns, AI agent execution environments, 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. 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 in coding with more than two of the following: Python, Java, JavaScript, TypeScript, SQL, or Go 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 3+ years of experience with database and database management systems 4+ years of experience contributing to open source 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 Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leveraging modern AI-based coding tools and IDE copilots Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams Experience with RAG architecture, vector databases or embedding-based search Experience leveraging Spec-Driven Development (SDD) Experience with agentic or multi-step Large Language Model (LLM) pipeline design using LangGraph, LangChain, or equivalent orchestration frameworks Experience deploying enterprise-grade, secure, and privacy-compliant LLM or AI agent applications at scale. 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. Chicago, IL: $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 Plano, TX: $179,400 - $204,700 for Full-stack Engineer 4 Richmond, VA: $179,400 - $204,700 for Full-stack Engineer 4 San Francisco, CA: $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).

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AI / ML & Data Science
Verified6 days ago

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