Distinguished Engineer - Enterprise Search and Knowledge Management
Company: Capital One
Location: Fort Worth
Posted on: November 12, 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 communityBasic
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 systemsPreferred 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
analyticsCapital 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.comCapital 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, Plano , Distinguished Engineer - Enterprise Search and Knowledge Management, Engineering , Fort Worth, Texas
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