# Software Engineer – Backend Engineer – Tax Engineering at Stripe

> United States · Unspecified · Backend · open. Source: https://alderhq.app/jobs/greenhouse%3Astripe%3A8384325 (read 2026-11-12).

## Facts (observed)

- Company: [Stripe](https://alderhq.app/companies/stripe)
- Location text: Seattle, WA; US-PERM
- Where it can be done from (inferred): United States (evidence: "Location: Seattle, WA; US-PERM")
- Posted: 2026-11-12 (0 days ago)
- First seen by alder: 2026-11-12 · last verified: 2026-11-12
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://stripe.com/jobs/search?gh_jid=8384325
- Skills listed (inferred): TypeScript, JavaScript, Python, Java, Scala, Ruby/Rails, Kubernetes, SQL, Distributed systems

## Pay and sponsorship

- Posted pay: $175k–$235k per year (from the description)
- Market band for similar posted roles (Seattle, n 11): p25 $140k, median $195k, p75 $203k
- H-1B filings at this company for similar roles, FY26: 10, median offered wage $190k ([US DOL OFLC LCA disclosure data](https://www.dol.gov/agencies/eta/foreign-labor/performance))
- Recognised sponsor (NL): registered as "Stripe Netherlands B.V." (checked 2026-11-09, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))
- Licensed UK sponsor: registered as "Stripe Payments UK Ltd" (checked 2026-11-09, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### Who we are

### About Stripe

Stripe, LLC. 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.

### What you’ll do

### Responsibilities

- Design, build, and maintain large-scale low-latency services and data pipelines.
- Work collaboratively on projects that span multiple engineering groups, across multiple functions (engineering, TPM, product, business), and involving different business stakeholders such as tax experts, accountants, and product owners.
- Build watertight controls across data flows to ensure super high accuracy for all transactions (trillions of dollars).
### Who you are

### Minimum requirements

Must have a Bachelor's degree or foreign equivalent in Computer Science, or a related field, plus 4 years of related work experience in software engineering. Must also have experience in each of the following:

3 years in

- experience writing high-quality software using Java, Ruby or Scala;
- experience with Python for backend logic, data processing, or automation scripts;
2 years in

- experience building highly scalable backend infrastructure;
- experience designing and maintaining Microservices and implementing RESTful Web Service;
- experience with Kubernetes and kubectl for managing and scaling cloud-native applications;
- experience in SQL for managing large-scale data sets and optimizing database performance;
1 year in

- experience with frontend technologies, specifically JavaScript or TypeScript, to support end-to-end feature delivery; and
- experience mentoring junior engineers.
Salary: $174,595.00 - $235,200.00/yr

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions available

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA82

### #LI-DNI

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Astripe%3A8384325 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.