DISTINGUISHED ENGINEER - ENTERPRISE SEARCH AND KNOWLEDGE MANAGEMENT
Company: Capital One
Location: Goochland
Posted on: November 14, 2024
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Job Description:
Center 3 (19075), United States of America, McLean, Virginia
Distinguished Engineer - Enterprise Search and Knowledge Management
As 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
Engineer 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 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
RecruitingAccommodationcapitalone.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 Careerscapitalone.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, Washington DC , DISTINGUISHED ENGINEER - ENTERPRISE SEARCH AND KNOWLEDGE MANAGEMENT, Executive , Goochland, DC
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