Skills this job asks for
CI/CDJavaKotlinPythonScalaLeadershipLLMsAWSGoogle Cloud
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 186 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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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What Social Finance INC paid sponsored hires in similar roles36 certified filings for “Senior Software Engineer” (Software Developers) in CA: $177k–$220k, median $207k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 186 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 Social Finance INC paid sponsored hires in similar roles
- 36 certified filings for “Senior Software Engineer” (Software Developers) in CA: $177k–$220k, median $207k. Most were filed at wage level II (61%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.
The role:
SoFi's AI Platform team builds the foundation that enables every engineer at SoFi to ship faster, safer, and with higher leverage from AI. Our AI Developer Experience (AI DevEx) team owns SoFi's interactive coding strategy and underlying infrastructure: AI economics, coding harnesses and harness vending, our evaluation platform, the enterprise AI Gateway, and intelligent model routing.
As a founding Staff Software Engineer, you'll be a technical leader on the team: owning major platform systems, setting the team's engineering standards, and working closely with our Autonomous Coding, CI/CD, and Code Factory teams and the engineering teams we serve.
What you’ll do:
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Own platform systems end-to-end: design, build, and operate foundational components of the AI Gateway, model routing, eval platform, and harness vending, transforming broadly defined challenges into production-grade systems .
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Instrument AI economics: develop usage telemetry, cost allocation, and chargeback mechanisms that provide transparent visibility into AI spend per developer.
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Lead team execution: plan feature architecture and implementation paths, parallelize work streams across teammates, and align cross-team dependencies with product and engineering leaders .
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Guide technical design: facilitate design reviews, evaluate architectural trade-offs, and align critical technical outcomes with the broader SoFi engineering community .
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Establish technical standards: define coding conventions, automated patterns, and architectural standards that result in maintainable, extensible software for other engineers .
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Drive operational excellence: automate build, test, and deployment workflows; serve as a leading resolver on production incidents; and resolve root causes through post-incident actions .
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Maintain a 6-to-12-month technical vision: anticipate system growth, prioritize architectural hygiene, and make pragmatic build-versus-adopt choices across an evolving tooling ecosystem.
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Partner with internal engineering teams: engage directly with developers as primary customers to understand their workflows, drive adoption of interactive coding tools, and translate feedback into continuous system enhancements.
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Mentor and develop engineers: provide well-calibrated, constructive code and design feedback to accelerate team member growth .
What you’ll need:
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Education & Minimum Experience Requirements: Bachelor’s Degree + 3–4 Years of Experience OR Master’s Degree + 2–3 Years of Experience in software engineering, computer science, or a related field .
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Advanced programming expertise in at least one modern backend language (such as Java, Kotlin, Python, Go, or Scala) .
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Proven distributed systems expertise with sound judgment evaluating trade-offs across security, concurrency, fault tolerance, horizontal scaling, and idempotence .
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Track record of technical leadership guiding feature delivery, cross-functional alignment, and architecture on production platforms .
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Hands-on experience developing with or building AI-assisted developer tooling and LLM-based systems (e.g., codi
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