Distinguished Engineer - Enterprise Search and Knowledge Management
Company: Capital One
Location: Kew Gardens
Posted on: October 29, 2024
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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, Brick , Distinguished Engineer - Enterprise Search and Knowledge Management, Engineering , Kew Gardens, New Jersey
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