Sr. Distinguished Engineer - Platform Operations
Company: Capital One
Location: Chelsea
Posted on: October 30, 2024
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Job Description:
Center 1 (19052), United States of America, McLean, VirginiaSr.
Distinguished Engineer - Platform OperationsAt Capital One, we
believe that AI and machine learning represent the biggest
opportunity in financial services today, and is a chance to
revolutionize the industry with more real-time personalized
experiences than it was ever possible. Our mission is to use the
power of machine learning to deliver better financial services to
our customers by creating trustworthy, reliable and
human-in-the-loop systems.
From informing customers about unusual charges to answering their
questions in real time, our AI/ML capabilities are bringing
humanity and simplicity to banking. Because of our investments in
public cloud infrastructure that provides on-demand compute and
storage for machine learning and our principled approach to
building enterprise platforms led by our best talent, we are now
uniquely positioned to harness the power of generative AI that few
other organizations can. Capital One's commitment to AI has
sponsorship from the CEO, the Board of Directors, and the executive
committee of the company.
We are committed to building world-class applied science and
engineering teams, on the foundations of our industry leading data
and AI/ML capabilities with breakthrough product experiences. The
Vice President, Platform Operations will lead and optimize our
Machine Learning & Artificial Intelligence platform operations.
This executive will report into the Senior Vice President, Head of
Machine Learning Experience in our engineering organization.
At Capital One, diversity, inclusion and belonging are valued at
our core. We empower our associates to do great work by creating an
inclusive culture - we call this our Culture of Belonging, and it
rests at the heart of our Diversity, and Inclusion & Belonging
(DIB) efforts. As this role will serve as a member of our
leadership team within our Enterprise Data Machine Learning
organization, and will be responsible for leading, coaching, and
mentoring our engineers, it is of paramount importance this
individual values diverse perspectives, fosters collaboration and
encourages innovative ideas - and can create a place where
associates of all backgrounds can thrive by bringing their most
authentic selves to work.
Senior Distinguished Engineers (DEs) are individual contributors
who strive to be diverse in thought so we visualize the problem
space. At Capital One, we believe diversity of thought strengthens
our ability to influence, collaborate and provide the most
innovative solutions across organizational boundaries.
Distinguished Engineers will significantly impact our trajectory
and devise clear roadmaps to deliver next generation technology
solutions.
Senior DEs are:
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
Visionaries, collaborating on Capital One's toughest issues, to
deliver on business needs that directly impact the lives of our
customers and associates
Role models and mentors, helping to coach and strengthen the
technical expertise and know-how of our engineering and product
community
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
Responsibilities:
Play a pivotal role in setting the roadmap and overseeing the
day-to-day management of our AI and ML platforms including: setting
strategies and overseeing container management in public cloud
(AWS), cloud resource provisioning, ensuring low latency, high
availability of cloud resources, cloud optimization, etc.
Maintain a deep understanding of the technical aspects of the
platform, including infra, algorithms, APIs and integrations.
Provide operations leadership to the engineering and production
teams.
Implement robust processes and operations dashboard to monitor
platform performance, user feedback, and adherence to service level
agreements (SLAs), observability, resiliency, and key operational
metrics in real time.
Collaborate with cyber, technology risk management, security and
compliance teams to understand the company cyber, risk and
compliance requirements. Work closely with product and engineering
to ensure the platform adheres to industry best practices,
corporate cyber and tech risk management standards
Implement automation and dashboards to visualize vulnerabilities,
platform incidents, cloud controls compliance, cloud resource
utilization etc. to enable proactive decision making, and risk
mitigation.
Work closely with executive leadership and buy-ings to develop a
long-term vision and roadmap for the platform operations
enhancements
Build a high performing operations team, recruiting world class
SREs, production engineers, data engineers, groom, and retain
talent on team
Basic Qualifications:
Bachelor's Degree
At least 9 years of experience managing Platform, infrastructure
operations or Site Reliability Engineering.
At least 5 years' experience with public cloud technologies
Preferred Qualifications:
Master's Degree in "STEM" field (Science, Technology, Engineering,
or Mathematics)
5+ years of experience in managing large-scale, high-performance,
distributed systems as a Site Reliability Engineer or a product
engineer
5+ years years experience in setting up and scaling observability
platform, providing monitoring and telemetry support and creating
Operational health dashboards
3+ years experience in building systems and solutions within a
regulated environment
3+ years of experience in Artificial Intelligence, Machine Learning
or Cloud infrastructure
3+ years experience with managing distributed systems,
multi-tenant, micro services, and container orchestration
(Kubernetes)
Experience partnering with technology peers responsible for data
architecture and distributed computing infrastructure or
platforms
5+ years of experience with machine learning lifecycle(building,
training models, serving models, setting up cloud infrastructure or
data pipelines) and familiarity with major Machine Learning
frameworks
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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): $321,500 - $366,900 for Sr
Distinguished EngineerSan Francisco and San Jose, California
(Hybrid On-Site): $340,500 - $388,700 for Sr 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, Cranston , Sr. Distinguished Engineer - Platform Operations, Engineering , Chelsea, Rhode Island
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