Jobs / United States / Capital One Services LLC
Sr. Staff Cloud Engineer (Cloud Asset Intelligence)
Capital One Services LLC · 🇺🇸 6 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Capital One Services LLC paid sponsored hires in similar roles145 certified filings for “Application Engineer” (Software Developers) in IL: $108k–$153k, median $149k. Most were filed at wage level IV (72%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Capital One Services LLC
The US Department of Labor certified 838 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 253 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Capital One Services LLC →
About the role
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 strateg