Distinguished Engineer - Enterprise Search and Knowledge Management

Company: Capital One
Location: Stafford
Posted on: November 13, 2024

Job Description:

Center 3 (19075), United States of America, McLean, VirginiaDistinguished Engineer - Enterprise Search and Knowledge ManagementAs a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.

Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.




In this role, you will work with our Enterprise Search and Knowledge Management team to provide deep technical expertise for Enterprise Search, 3rd Party Platform Management and Integrations (Google Product Suite, GCP, Vertex AI), and designing large scale migrations into the Google Platform. The successful candidate will have a deep understanding of how 3rd Party Platforms integrate and interact with large scale systems within a large, regulated enterprise environment. Additionally, you will provide mentorship and strategic guidance to our engineer, product, and leadership groups.

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.




Key responsibilities:

Articulate and evangelize a bold technical vision for Enterprise Search and Knowledge Management


Architect and design an advanced enterprise search system leveraging the latest in AI and Machine Learning


Lead the development and integration of generative AI technologies into our 3rd Party Product Suite


Collaborate with product management, Architecture, and Engineering teams to define and implement data-driven strategic roadmaps with a focus on third party platform integrations


Provide technical leadership to platform engineers, product managers, and all other stakeholders leveraging a deep understanding of Google product suite and Google Cloud Platform


Provide strategic consultation on management and application deployment in Azure and GCP


Ensure the quality of technical design and implementation


Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability


Continue learning and injecting advanced technical knowledge into our community


Handle several projects simultaneously, balancing your time to maximize impact


Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community



Basic Qualifications

Bachelor's Degree


At least 7 years of experience in software engineering


At least 4 years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud)


At least 2 years of experience with GCP Services, architecture, and management


At least 3 years of experience with Enterprise Search systems


At least 3 years of experience designing and implementing large-scale, distributed systems



Preferred Qualifications:

Master's or PhD Degree in Computer Science or a related field


10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.


7+ years of experience in Software OR Platform engineering with a focus on search technologies, 3rd Party platform integration, and Cloud implementations


7+ years of contributions to open-source projects or research publications in relevant fields


5+ years of experience with Knowledge Graphs and semantic search technologies


5+ years of experience with Machine Learning (NLP)


5+ years of experience with patents or innovative solutions in search or data science fields


5+ years of experience with Information retrieval and text analytics



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.

New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished EngineerCandidates 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 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 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).

Keywords: Capital One, Baltimore , Distinguished Engineer - Enterprise Search and Knowledge Management, Executive , Stafford, Maryland