Sr. Distinguished Engineer - Platform Operations
Company: Capital One
Location: Fredericksburg
Posted on: October 30, 2024
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
capabilitiesResponsibilities:
- 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 teamBasic 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
technologiesPreferred 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 ----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 -. 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 . 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 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, Dale City , Sr. Distinguished Engineer - Platform Operations, Engineering , Fredericksburg, Virginia
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