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<h3>Job Description</h3>
Principal Software Engineer - Capital One Software (Remote)
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.
Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.
We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Principal Software Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.
What You’ll Do:&nbsp;
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services&nbsp;
Basic Qualifications:&nbsp;
<ul>
<li>
Bachelor’s Degree
</li>
<li>
At least 3 years of experience in software engineering (Internship experience does not apply)
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go
</li>
<li>
1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service
</li>
<li>
3+ years of experience in open source frameworks
</li>
<li>
2+ years of experience in Agile practices
</li>
<li>
2+ years of experience with software development in Rust, C or C++
</li>
</ul>
At this time, Capital One will not sponsor a new 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.
Remote (Regardless of Location): $144,200 - $164,600 for Senior Software Engineer
 &nbsp;
Richmond, VA: $144,200 - $164,600 for Senior Software Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Principal Software Engineer - Capital One Software (Remote)

<h3>Job Description</h3>
Distinguished Engineer - Finance Technology
At Capital One, we believe in the values of Excellence and Doing the Right Thing. We are a technology-oriented company delivering financial&nbsp; products to market through modern technology and constant innovation at a massive scale.
Distinguished Engineers are:
<ul>
<li>
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices
</li>
<li>
Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
</li>
<li>
Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
</li>
<li>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities
</li>
<li>
Leaders who gain the trust and confidence of those around them, from hands on engineers to executives
</li>
</ul>
Whether a member of our engineering or architecture teams, Distinguished Engineers are individual contributors expected to solve problems in a fast-paced, collaborative, and iterative delivery environment. In order to meet these demands, candidates should be influential engineering leaders with deep technology expertise, and a collaborative style that brings others into the decision-making process. Distinguished Engineers will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.
We are seeking a Distinguished engineer to join the Finance Technology organization at Capital One. Finance Technology is positioning the Finance organization as a strategic enabler at Capital One. We engineer outcomes that transform how finance gets done through technology innovation and cutting edge products and services. The Distinguished engineer will lead architectural convergence between enterprise finance applications that serve our core finance functions such as accounting, tax, treasury and FP&amp;A. Working alongside software and data engineering teams they will drive the design and development of applications that analyze, process and move massive amounts of financial data between systems including the General Ledger.
Responsibilities:
<ul>
<li>
Develop and maintain an overall architecture for the domain, in alignment with divisional and enterprise guidelines
</li>
<li>
Look broadly across the domain to ensure consistency in architecture across the domain
</li>
<li>
Collaborate with other domain architects and the divisional architecture team to ensure consistency across multiple domains
</li>
<li>
Identify opportunities for application reuse and consolidation, both within your domain and by providing or consuming capabilities from other domains or lines of business
</li>
<li>
Represent and advocate on behalf of your domain to the larger architecture community, particularly the Divisional Chief Architect and peers in the architecture center of practice
</li>
<li>
Guide the domain architecture team in problem solving activities, ensuring that all voices are heard and understood while driving to timely, realistic solutions
</li>
<li>
Ensure architecture decisions are clearly documented, communicated, and maintained for all initiatives within the domain&nbsp;
</li>
<li>
Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible
</li>
<li>
Effectively communicate with and influence key stakeholders across the domain
</li>
<li>
Lead the way in keeping both the technology and the technologists in the domain up-to-date with modern architecture practices
</li>
<li>
Protect against missed opportunities by providing or soliciting diverse points of view on how to solve our problems
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor’s Degree
</li>
<li>
At least 7 years of experience with application architecture and design patterns
</li>
<li>
At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems&nbsp;
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Master’s Degree in Computer Science or a Master’s Degree in Software Engineering
</li>
<li>
10+ years of experience of working with business leaders on the implications of architectural decisions
</li>
<li>
4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure)
</li>
<li>
4+ years of experience with Enterprise Resource Planning Systems (Oracle Fusion, Oracle Financial Applications, Workday, or SAP)
</li>
<li>
5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar
</li>
</ul>
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.
Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer
 &nbsp;
McLean, VA: $263,900 - $301,200 for Distinguished Engineer
 &nbsp;
New York, NY: $287,800 - $328,500 for Distinguished Engineer
 &nbsp;
Richmond, VA: $239,900 - $273,800 for Distinguished Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Distinguished Engineer - Finance Technology

<h3>Job Description</h3>
Distinguished Machine Learning Engineer- Capital One Software (Remote)
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.
Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.
 We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. &nbsp;
Responsibilities:
<ul>
<li>
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
</li>
<li>
Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates
</li>
<li>
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
</li>
<li>
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
</li>
<li>
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
</li>
<li>
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
</li>
<li>
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelors Degree
</li>
<li>
At least 7 years of experience in Software Engineering
</li>
<li>
At least 5 years of experience in Machine Learning Systems and Infrastructure
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
Masters’ Degree
</li>
<li>
7+ years of experience using Python, Java,&nbsp; Go, and SQL
</li>
<li>
6+ year of experience deploying machine learning models
</li>
<li>
Ability to understand deploying Machine Learning models in production environments at scale
</li>
<li>
Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs
</li>
<li>
3+ years of experience with Kafka, Airflow, Spark,&nbsp; AWS Glue/Kinesis
</li>
<li>
3+ years of experience with Databricks or Snowflake
</li>
<li>
Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction
</li>
</ul>
At this time, Capital One will not sponsor a new 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.
Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer
 &nbsp;
Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Distinguished Machine Learning Engineer- Capital One Software (Remote)

<h3>Job Description</h3>
Lead, Software Engineer, Data &amp; AI – Capital One Software (Remote)
Job Description
Capital One Software is seeking an experienced Lead, Software Engineer (Data &amp; AI) to join our Rapid Prototyping Team, which is responsible for building and prototyping new features of Capital One Software’s next-generation data and cloud security platform to address emerging customer use cases and showcasing key product capabilities. Our software solutions leverage the state-of-art Data &amp; AI technologies, and help enterprises discover, share, and protect their most critical data assets across hybrid and multi-cloud environments. This team plays a crucial role in designing and prototyping new product capabilities, evaluating cutting-edge technologies and is on the front line with customers to iterate on new features.&nbsp;
We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead, Software Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.&nbsp;&nbsp;
What You’ll Do
<ul>
<li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in large-scale distributed systems, data security and governance, and cloud-native architecture. Make impactful, hands-on contributions throughout the project lifecycle, from scoping, design to coding and operations.&nbsp;
</li>
<li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies on Security Data Management Platform, Agentic AI, Cloud Data Warehouse, etc, participating in internal &amp; external technology communities, mentoring other members of the engineering community.
</li>
<li>
Collaborate with product managers, translate product requirements into engineering tasks, make trade-off calls to balance delivery timelines and engineering best practices.
</li>
<li>
Own and drive cross functional partnerships with teams spanning Engineering, Platform, Design, Data Science, Security and GTM teams, and partner closely with the leadership/stakeholders of various teams within these teams.
</li>
<li>
Drive innovations on building AI-enabled agents, fine-tune LLM models for data classification and sensitive data detection.&nbsp;
</li>
</ul>
Basic Qualifications
<ul>
<li>
Bachelor’s Degree
</li>
<li>
At least 4 years of experience in software engineering (Internship experience does not apply)
</li>
<li>
At least 2 year experience with cloud computing (AWS, Microsoft Azure, or Google Cloud). 
</li>
<li>
At least 3 years experience in&nbsp; programming language; Java, Python, C++, Rust or Go. &nbsp;
</li>
</ul>
Preferred Qualifications
<ul>
<li>
Master’s Degree 
</li>
<li>
Prior experience in building Data Security Posture Management (DSPM) system is a huge plus.&nbsp;&nbsp;
</li>
<li>
Proficient in SQL. Hands-on experience with RDBMS and NoSQL databases.
</li>
<li>
Hands-on experience with Container Orchestration services including Docker and Kubernetes.&nbsp;
</li>
<li>
Experience in cloud-based lakehouses such as Databricks, Snowflake, AWS Athena, etc.&nbsp;
</li>
<li>
Experience in open source data governance/catalog platforms such as Datahub, OpenMetadata or Atlas is a plus.
</li>
<li>
Hands-on experience in building production scale agentic AI systems. Familiar with tools such as Langchain, Langgraph, and MCP.&nbsp;
</li>
<li>
Hands-on experience in fine-tuning LLM, and deployed to productions to serve customers.
</li>
<li>
2+ years of experience in Agile practices &nbsp;
</li>
</ul>
At this time, Capital One will not sponsor a new 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.
Remote (Regardless of Location): $175,800 - $200,700 for Manager, Software Engineering
 &nbsp;
Richmond, VA: $175,800 - $200,700 for Manager, Software Engineering
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Lead, Software Engineer, Data & AI - Capital One Software (Remote)

<h3>Job Description</h3>
Senior Manager, Technical Program Management - Capital One Software (Remote)
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.
Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.
We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Manager, Technical Program Management, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. &nbsp;
Our TPM Sr.Managers have:
<ul>
<li>
Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle
</li>
<li>
Exceptional communication and collaboration skills
</li>
<li>
Excellent problem solving and influencing skills
</li>
<li>
A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker
</li>
<li>
Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives
</li>
<li>
Deep focus on execution, follow-through, accountability, and results
</li>
<li>
Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
</li>
<li>
Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners
</li>
</ul>
Basic Qualifications:
<ul>
<li>
At least 5 years of experience in technical program management
</li>
<li>
Bachelor's degree
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
5+ years of experience designing and building data-intensive solutions using distributed computing
</li>
<li>
3+ years of experience in building distributed systems &amp; highly available services using cloud computing services / architecture - preferably using AWS
</li>
<li>
3+ years experience building highly scalable mobile products &amp; platforms
</li>
<li>
3+ years of experience with Agile delivery
</li>
<li>
Experience applying Generative AI to solve business problems and drive efficiency&nbsp;
</li>
<li>
Experience leading technical programs in data security, governance or compliance-focused environment
</li>
<li>
Familiarity with core data security and privacy principles, including data classification, encryption (at-rest and in-transit), access control, and secure data lifecycle management.
</li>
<li>
3+ years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact
</li>
<li>
Experience in building systems &amp; solutions within a highly regulated environment
</li>
<li>
Bachelor's degree or higher in a related technical field (Computer Science, Software Engineering)
</li>
</ul>
At this time, Capital One will not sponsor a new 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.
Remote (Regardless of Location): $175,500 - $200,300 for Sr. Manager, Technical Program Management
 &nbsp;
Richmond, VA: $175,500 - $200,300 for Sr. Manager, Technical Program Management
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior Manager, Technical Program Management - Capital One Software (Remote)

<h3>Job Description</h3>
Senior Manager, Production Support - Capital One Software - (Remote)
Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.
Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward.
Job Summary:&nbsp;
We are seeking a highly skilled and motivated Senior Manager, Production Support to join our Capital One Software Support team in a fast-paced Software as a Service (Saas) organization. As a key member of our technical support group, you will play a critical role in ensuring the reliability, performance, and optimal functionality of our SaaS product. The ideal candidate should have a strong background in system engineering, troubleshooting, and customer support.
Responsibilities:&nbsp;
<ul>
<li>
&nbsp;Provide advanced technical support for complex issues, addressing system and application-related challenges.
</li>
<li>
Familiarity with microservices architecture, understanding how to support and troubleshoot microservices-based applications.
</li>
<li>
Proficient in writing and executing SQL script to extract and analyze data.
</li>
<li>
Diagnose and resolve software issues in a timely and efficient manner to meet service level agreements (SLAs).
</li>
<li>
Monitor system performance and proactively identify potential issues before they impact users.
</li>
<li>
Create and maintain comprehensive documentation related to troubleshooting procedures, system configurations, and support processes.
</li>
<li>
Share knowledge with team members and contribute to the development of training materials.
</li>
<li>
Work closely with cross-functional teams, including software developers , product managers and platform engineers to address and resolve complex technical issues.
</li>
<li>
Collaborate with Level 3 support to perform root cause analysis and contribute to long-term solutions.
</li>
<li>
Communicate effectively with customers to understand and troubleshoot issues, providing timely updates and resolutions.
</li>
<li>
Ensure a high level of customer satisfaction through professional and courteous interactions.
</li>
<li>
Identify opportunities for automation to streamline repetitive tasks and enhance efficiency.
</li>
<li>
Contribute to continuous improvement initiatives, suggesting and implementing process enhancements.
</li>
<li>
Participate in on-call rotations to provide 24/7 support for major incidents.
</li>
<li>
Respond promptly to emergency situations, contributing to swift resolution and minimizing downtime.
</li>
</ul>
If you are a highly analytical and collaborative individual with a passion for ensuring the seamless operation of SaaS solutions, we invite you to apply for this challenging and rewarding position. Join us in delivering exceptional support to our clients and contributing to the success of our innovative SaaS products.
Basic Qualifications:&nbsp;
<ul>
<li>
Bachelor's degree in Computer Science, Information Technology, or a related field.
</li>
<li>
At least 7 years of system engineering experience
</li>
<li>
At least 5 years of software troubleshooting or software customer support experience
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
1 +&nbsp; year of experience with Snowflake and Databricks
</li>
<li>
Experience with scripting languages (Python, Bash)
</li>
<li>
3 + years of experience in DevOps Engineering
</li>
<li>
3 + years of experience with public cloud technologies
</li>
<li>
2 + years of experience using monitoring tools (AWS Cloudwatch, Splunk, New Relic)
</li>
<li>
AWS Certified Solutions Architect – Associate Certification.
</li>
</ul>
At this time, Capital One will not sponsor a new 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.
Remote (Regardless of Location): $155,300 - $177,200 for Production Support Sr. Manager
 &nbsp;
McLean, VA: $170,800 - $194,900 for Production Support Sr. Manager
 &nbsp;
Richmond, VA: $155,300 - $177,200 for Production Support Sr. Manager
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior Manager, Production Support - Capital One Software - (Remote)

<h3>Job Description</h3>
Senior AI Engineer (LLM Core)
Overview:
At Capital One, 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 &amp; 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.&nbsp; 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. &nbsp;
In this role, you will:&nbsp;
<ul>
<li>
Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
</li>
<li>
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
</li>
<li>
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
</li>
<li>
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
</li>
<li>
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
</li>
</ul>
The Ideal Candidate:
<ul>
<li>
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.&nbsp;
</li>
<li>
Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
</li>
<li>
You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
</li>
<li>
You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.&nbsp;
</li>
<li>
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. 
</li>
</ul>
Basic Qualifications:
<ul>
<li>
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies
</li>
<li>
At least 3 years of experience programming with Python, Go, Scala, or Java
</li>
</ul>
Preferred Qualifications:
<ul>
<li>
4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
</li>
<li>
Experience developing, delivering, and supporting AI services
</li>
<li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
</li>
<li>
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
</li>
</ul>
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.
Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer
 &nbsp;
McLean, VA: $158,600 - $181,000 for Senior AI Engineer
 &nbsp;
New York, NY: $173,000 - $197,400 for Senior AI Engineer
 &nbsp;
San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer
 &nbsp;
San Jose, CA: $173,000 - $197,400 for Senior AI Engineer
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Senior AI Engineer (LLM Core)

<h3>Job Description</h3>
Director, Software Engineering
Director, Software Engineering&nbsp;
As a Capital One Director of Software Engineering, you'll work on implementing some of the technology advanced products&nbsp; using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the latest techniques in Big Data. You'll bring solid experience in both emerging and traditional technologies.
&nbsp;
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 &amp; automatically detect issues before they impact our business, our customers, or our communities.
&nbsp;
In this role at Risk Tech, you will work with our internal Audit team to provide architectural guidance and technical leadership to help build best-in-class products for capital one. You will be a thought leader in this space to ensure we are building a world class product that is scalable, resilient, multi-tenant and can support a variety of use cases.&nbsp;
&nbsp;
You will be responsible to lead the teams with setting up the right vision, best in the industry engineering culture and developer experience. You will also closely partner with product partners and other stakeholders to define the strategy that will position Audit products to be the best in class product for enterprise users. Additionally, you will provide mentorship and strategic guidance to your direct reports helping them grow in their career at Capital One.
&nbsp;
If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.
&nbsp;
Our Directors Are
<ul>
<li>
Technologists: Strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions - will have a DevOps mindset
</li>
<li>
Effective Communicators: Excellent listener; proven collaborator with senior leaders, peers and staff
</li>
<li>
Partnership Attitude: Have the competencies to build very strong partnerships with other technology leaders that enable your team's ability to stay on the leading edge of industry solutions
</li>
<li>
Passionate: Bring energy and enthusiasm to the job and organization
</li>
<li>
Bold: History of taking smart, calculated risks and aggressively leading through change
</li>
<li>
Achievers: Consistently attain/exceed individual and team goals
</li>
</ul>
&nbsp;
You Will
<ul>
<li>
Lead, manage, and grow multiple teams of product focused software &amp; data engineers
</li>
<li>
Embrace and incubate emerging technology and open-source products across all platforms
</li>
<li>
Work to modernize our existing tech stacks and data platforms
</li>
<li>
Collaborate with internal teams to find areas of opportunities for automation and machine learning
</li>
<li>
Partner with architects, product owners, data professionals, and software &amp; data engineers to drive the implementation of new applications
</li>
<li>
Work within and across Agile teams to design, develop, test, implement and support technical solutions across full-stack development tools and technologies
</li>
<li>
Lead efforts to deploy new and existing applications into AWS environments and provide operational support for the applications
</li>
<li>
Conduct design and code review to ensure compliance with standards
</li>
</ul>
&nbsp;
Basic Qualifications:
<ul>
<li>
Bachelor’s Degree
</li>
<li>
At least 7 years’ experience in software development
</li>
<li>
At least 5 years’ experience in people management
</li>
</ul>
&nbsp;
Preferred Qualifications:
<ul>
<li>
Master’s Degree in Computer Science or a Master’s Degree in Software Engineering
</li>
<li>
10+ years’ of experience in software development
</li>
<li>
5+ years’ of experience in Agile practices
</li>
</ul>
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.
Cambridge, MA: $263,900 - $301,200 for Director, Software Engineering
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
 &nbsp;
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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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).

Director, Software Engineering

<h3>Job Description</h3>
Manager, Ontology and Data Modeling
The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.&nbsp;
The Manager of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners&nbsp; to develop domain ontologies in support of our ERP replacement initiatives. With this replacement, we are looking for someone to champion the creation and adoption of standardized data. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.
Primary Responsibilities
<ul>
<li>
Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models
</li>
<li>
Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria
</li>
<li>
Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes
</li>
<li>
Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team
</li>
<li>
Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems
</li>
<li>
Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing
</li>
<li>
Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence&nbsp;
</li>
<li>
Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates
</li>
<li>
Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder
</li>
<li>
Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies
</li>
<li>
Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.
</li>
<li>
Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning
</li>
<li>
Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL
</li>
<li>
Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One
</li>
</ul>
Role-Based Competencies
<ul>
<li>
Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives.
</li>
<li>
Able to communicate and advocate the value of using industry standards, applications, and open source data sets.
</li>
<li>
Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment.
</li>
<li>
Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata.
</li>
<li>
Able to test/troubleshoot new or updated models and systems
</li>
<li>
Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models.
</li>
<li>
Able to maintain and update data and models according to industry best practice.&nbsp;
</li>
<li>
Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models.
</li>
<li>
Able to assist in the implementation and support of data standardization and ontology governance strategies and processes.
</li>
<li>
Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems.
</li>
<li>
Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends.&nbsp;
</li>
<li>
Has very strong research skills.
</li>
<li>
Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience.
</li>
<li>
Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions.
</li>
<li>
Continually focused on improving the responsiveness and quality of the solutions delivered.
</li>
<li>
Exhibits high energy, passion, self-motivation, and creativity for problem solving.
</li>
</ul>
Basic Qualifications&nbsp;
<ul>
<li>
Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
</li>
<li>
At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics)
</li>
<li>
At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)
</li>
<li>
At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)
</li>
<li>
At least 4 years’ experience or training with SQL or SPARQL
</li>
</ul>
Preferred Qualifications
<ul>
<li>
Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics
</li>
<li>
Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data
</li>
<li>
Familiarity with graph databases and technologies
</li>
<li>
Familiarity with Python or R
</li>
<li>
Familiarity with JSON, OpenAPI/YAML, AVRO
</li>
<li>
Familiarity with Agile principles, processes, and methodologies
</li>
<li>
Familiarity with Amazon Web Services
</li>
<li>
Detail-oriented and an ability to problem-solve independently
</li>
<li>
Strong reading and writing skills
</li>
<li>
Strong project management experience
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Excellent communication skills and the ability to present ideas clearly and with confidence.
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Ability to work individually and with a team to meet deadlines
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At this time, Capital One will not sponsor a new 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.
Cambridge, MA: $158,400 - $180,800 for Manager, Ontology and Data Modeling
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McLean, VA: $158,400 - $180,800 for Manager, Ontology and Data Modeling
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New York, NY: $172,800 - $197,200 for Manager, Ontology and Data Modeling
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Richmond, VA: $144,000 - $164,400 for Manager, Ontology and Data Modeling
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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&nbsp;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 <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. 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 <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>
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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