Job description

Sr. Staff Cloud Engineer (Cloud Asset Intelligence) 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. 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 Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff Cloud Engineer New York, NY: $343,400 - $392,000 for Sr. Staff Cloud Engineer Plano, TX: $286,200 - $326,700 for Sr. Staff Cloud Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff Cloud Engineer San 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. 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 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).

Requirements

Must-haves

Sr. Staff Cloud Engineer (Cloud Asset Intelligence)
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

Nice-to-haves

Master’s Degree in Computer Science or Software Engineering
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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: workday
Effort: long

Benefits

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Vision

Pto

Professional Development