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Capital One

Sr. Staff Cloud Engineer (Cloud Asset Intelligence)

Salary$286k – $392k
LocationMcLean, VA; San Francisco, CA; Richmond, VA; Chicago, IL; New York, NY; Plano, TX
Typefull-time
SeniorityLead
Experience9+ yrs
Company size10,000+ people
First seenOct 8, 2026 · 3d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Must have3
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 9 years of experience in software engineering
At least 6 years of experience in cloud engineering
Nice to have20
Master's Degree in Computer Science or Software Engineering
12+ years of experience in coding with at least one of the following: Java, Scala, Python, Go, or Node.js
8+ years of experience with public cloud platforms (AWS, GCP, Azure, OCI)
5+ years of experience architecting multi-tenant platforms including isolation, access controls, quota management, and multi-region operations
4+ years of hands-on experience using knowledge graphs and graph query languages for asset discovery and topology mapping
Experience with asset management concepts including inventory discovery, telemetry aggregation, CMDBs, and state tracking across multi-cloud environments
Experience building AI-native platforms or integrating AI capabilities into operational tools to automate intelligence and actionable insights
One or more active certifications related to cloud infrastructure management or security
Experience in optimizing complex, high-scale distributed systems and cloud-native architectures (ex: Kubernetes, Serverless)
Experience designing and supporting cloud networking, security and identity integrations
Experience influencing technology strategy at the portfolio or business unit level
Experience defining and tracking engineering OKRs that align to business outcomes
Experience shaping organization design and talent strategy for scaling engineering capabilities
Experience with strategic and executive-level communication to influence technology decisions within the organization
Experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
Experience acting as a leader of leaders and driving professional development within technical teams
Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges
Experience with risk management and operational excellence within high risk/high severity incident environment
Experience mentoring senior engineers and driving professional development within technical teams
Experience leading cross-domain architectural reviews or establishing coding and design standards
Skills
Java
Scala
Python
Go
Node.js
AWS
GCP
Azure
OCI
Kubernetes
Serverless
knowledge graphs
Benefits
Performance based incentive compensation
Health insurance
Financial benefits
Other benefits
Sr. Staff Cloud Engineer (Cloud Asset Intelligence)
About the company
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Cloud Engineers who are passionate about marrying data with emerging technologies to join our team. As a Cloud Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
About the role
This Senior Staff cloud engineer will lead and shape our Asset and Cloud inventory, intelligence, and insights missions. In this role, you will work across teams and divisions to deliver leading AI-native solutions that empower the enterprise to thrive, innovate, and scale securely.
What You’ll Do:
•
Articulate and evangelize a bold technical vision for your domain
•
Decompose complex problems into practical and operational solutions
•
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
•
Drive modernization of monolithic systems into microservice architectures and event-driven platforms
•
Collaborate with senior engineering and architecture leaders to define long-term platform strategy and API standards
•
Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers.
•
Lead cross-divisional projects and impacts that promote technological best practices and enhancements
•
Lead the adoption and responsible use of emerging AI and automation capabilities to improve the scalability, reliability, and efficiency of cloud platforms and engineering workflows
Basic Qualifications:
•
Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
•
At least 9 years of experience in software engineering
•
At least 6 years of experience in cloud engineering
Preferred Qualifications:
•
Master’s Degree in Computer Science or Software Engineering
•
12+ years of experience in coding with at least one of the following: Java, Scala, Python, Go, or Node.js
•
8+ years of experience with public cloud platforms (AWS, GCP, Azure, OCI)
•
5+ years of experience architecting multi-tenant platforms including isolation, access controls, quota management, and multi-region operations
•
4+ years of hands-on experience using knowledge graphs and graph query languages for asset discovery and topology mapping
•
Experience with asset management concepts including inventory discovery, telemetry aggregation, CMDBs, and state tracking across multi-cloud environments
•
Experience building AI-native platforms or integrating AI capabilities into operational tools to automate intelligence and actionable insights
•
One or more active certifications related to cloud infrastructure management or security
•
Experience in optimizing complex, high-scale distributed systems and cloud-native architectures (ex: Kubernetes, Serverless)
•
Experience designing and supporting cloud networking, security and identity integrations
•
Experience influencing technology strategy at the portfolio or business unit level
•
Experience defining and tracking engineering OKRs that align to business outcomes
•
Experience shaping organization design and talent strategy for scaling engineering capabilities
•
Experience with strategic and executive-level communication to influence technology decisions within the organization
•
Experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
•
Experience acting as a leader of leaders and driving professional development within technical teams
•
Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges.
•
Experience with risk management and operational excellence within high risk/high severity incident environment
•
Experience mentoring senior engineers and driving professional development within technical teams
•
Experience leading cross-domain architectural reviews or establishing coding and design standards
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.
Chicago, IL: $286,200 - $326,700 for Sr. Staff Cloud EngineerMcLean, VA: $314,800 - $359,300 for Sr. Staff Cloud EngineerNew York, NY: $343,400 - $392,000 for Sr. Staff Cloud EngineerPlano, TX: $286,200 - $326,700 for Sr. Staff Cloud EngineerRichmond, VA: $286,200 - $326,700 for Sr. Staff Cloud EngineerSan Francisco, CA: $343,400 - $392,000 for Sr. Staff Cloud 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.
Benefits
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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. 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 [email protected]. 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 [email protected]
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).
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