Jobs / United States / Capital One Services LLC
Full-stack Engineer 4 (Manager, IC - AWS, JavaScript, Python)
Capital One Services LLC · 🇺🇸 McLean, VA
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 “Senior Manager, Software Engineering” (Software Developers) in VA: $162k–$193k, median $178k. Most were filed at wage level IV (98%) — 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
Full-stack Engineer 4 (Manager, IC - AWS, JavaScript, Python) 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 solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment • Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services • Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence • Partner with architects to define service boundaries, integration patterns, and reusable frameworks • Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance • Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment Basic Qualifications: • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) • At least 4 years of experience in software engineering (Internship experience does not apply) • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: • Master’s Degree in Computer Science or a related field • 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala • 3+ years of experience with database and database management systems • 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies • 4+ years of experience contributing to open source frameworks • 3+ years of experience with front-end JavaScript or TypeScript frameworks • 4+ years of experience creating synchronous and asynchronous APIs • 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks • 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) • 3+ years of experience troubleshooting technical issues within cloud environments • Experience leveraging modern AI-based coding tools and IDE copilots • 1+ year of experience mentoring engineers and driving professional development within technical teams • 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems • Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion