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 260 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 Stripe paid sponsored hires in similar roles62 certified filings for “Software Engineer” (Software Developers) in WA: $129k–$212k, median $157k.
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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 260 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 Stripe paid sponsored hires in similar roles
- 62 certified filings for “Software Engineer” (Software Developers) in WA: $129k–$212k, median $157k. Most were filed at wage level I (55%) — 1 lottery entry, ≈15% 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
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Radar helps businesses prevent payments fraud and abuse while enabling legitimate customers to transact with confidence. We combine machine learning and AI with the intelligence of Stripe’s global network to make sophisticated fraud prevention accessible to businesses of all sizes.
Our work spans payments fraud detection, protection against abuse beyond the payment, enterprise APIs that bring Radar’s capabilities into businesses’ own systems and payment flows, and the platform that powers it all. We build everything from reliable, low-latency infrastructure to intuitive tools that help users understand threats and control how they respond.
Fraud evolves constantly, and so do we. We work directly with users to understand emerging attacks, turn advances in ML and AI into effective defenses, and build products that protect and grow their revenue.
What you’ll do
As a software engineer on Radar, you’ll build products and infrastructure that help businesses understand and stop fraud and abuse. Your work will span backend services, enterprise APIs, and user experiences that put sophisticated prevention capabilities into our customers’ hands.
You’ll own problems from investigation through launch, partnering with product managers, designers, and data scientists. You’ll have opportunities to scale systems that make real-time decisions across Stripe’s global payments network, bring advances in ML and AI into production, and build new products from scratch. Every improvement can have a direct impact on the revenue our users retain and the legitimate customers they serve.
Responsibilities
• Build and operate reliable, low-latency services that detect and prevent fraud and abuse at scale
• Design APIs and dashboard experiences that help businesses investigate threats, configure defenses, and understand how Radar protects them
• Develop the shared platform and infrastructure that enable teams to build and launch new Radar capabilities
• Work directly with users to understand emerging threats and turn those insights into broadly useful products
• Partner with ML engineers and data scientists to bring new signals, models, and AI capabilities into production
• Own projects end to end, from technical design and implementation through rollout, measurement, and iteration
• Uphold a high bar for engineering quality, reliability, and product craft while moving quickly as threats evolve
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• 2+ years of industry software engineering experience
• Strong coding skills in any programming language, with experience building and maintaining production software
• Ability to work across systems and technologies, learn unfamiliar codebases, and make thoughtful technical trade-offs
• A rigorous approach to problem solving, including using data to investigate issues and evaluate whether a solution works
• Strong collaboration and communication skills, with the ability to work across disciplines and contribute to your peers’ success
• An ownership mindset and comfort navigatin
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