15 Fintech Engineering Teams Actually Hiring Right Now (Aug 2026)

The biggest engineering board in fintech right now belongs to a company most US engineers have never applied to. Airwallex runs cross-border business accounts and payments, and it's hiring across Global Payments, Financial Platform, Lending, Cards, and a dedicated agentic AI team. The caveat: it's headquartered in Singapore and hires heavily across APAC, so filter for your region before you get excited. The upside of that low name recognition: you are not competing with the Stripe pile.

Still the reference employer, and the board reads like a map of its bets: Payments, Billing, Terminal, Credit Decisions, Money as a Service, an AI Conversation Platform team, and a cluster of roles on Privy, its crypto-wallet infrastructure arm. Backend roles dominate. It is also the most crowded applicant pool on this list, so go in prepared: our Stripe interview guide breaks down the loop.

More than half of Affirm's entire board is engineering, and a striking share of it is machine learning: Underwriting ML, Fraud ML, Servicing ML, plus model-risk roles that barely existed as a discipline five years ago. Remote-first, which widens the applicant pool but also the location list. If you have ML plus any credit or fraud experience, this is the strongest match on the list.

Remote-first and hiring well beyond trading screens: an AI Platform team, Core AI Infrastructure, Stablecoins, and Forward Deployed Engineer roles embedded with Compliance, Legal, and Finance. Crypto exposure is a real choice here, in both directions: hiring and comp swing with the market. The engineering problems, especially around money movement and custody, are as hard as anywhere in the vertical.

The corporate card and spend platform is hiring AI Engineers, Accounting Engineering, Cloud Infrastructure, and Security Operations. One honest flag: Brex lists the same role in multiple offices, so the unique-role count is meaningfully lower than 65. Still a broad, active board, and "Accounting Engineering" is exactly the kind of money-correctness work fintech interviews love to probe.

Half the board is engineering. The teams tell you where the company is going: Credit Cards & Banking, Custody Services, Wallet, Crypto Expansion, and a heavy mobile slate of Android and iOS roles across products. There's also serious infrastructure hiring: Kubernetes Compute, Storage Platform, Streaming Platform. If you're a mobile engineer who wants fintech, few boards want you more right now.

Amsterdam's payments giant, and culturally the most old-school engineering shop here: a Java-heavy stack, its own data centers (they literally hire Data Center Engineers), and formal team structures. Hiring spans Bank Payments, Card Payments, Capital, ML, and infrastructure. Most roles sit in Amsterdam with US seats in Chicago and San Francisco; factor in relocation appetite.

The London-based payments processor is hiring software engineers at every level alongside an unusually deep fraud and risk data-science bench and an "AI Centre of Excellence." Europe-weighted, with the spelling to match. If you're a data scientist who wants to work on payment fraud specifically, this board has the densest cluster of those roles in the audit.

The one nobody thinks to apply to. Addepar builds the data platform behind trillions in wealth-management assets, and it's hiring across an AI Platform group, Trading, Calculation Engines, and Portfolio Services. Staff-level roles dominate. This is the classic thin-crowd play: hard data problems, real money stakes, and a fraction of the applicant volume the consumer brands get.

Payroll is money movement with a tax deadline attached, and Gusto's board shows it: Tax Platform Engineering, Money Group, Pay Group Engineering, plus an AI Platform leadership hire and a "Retirement AI" team. Titles skew Staff and Senior Staff, so this is a board for experienced engineers. Underrated fintech credential: payroll correctness work translates everywhere in the vertical.

The spend-management company keeps showing up on fastest-growing lists, and the board matches the story: Applied AI, a Stablecoin team, Fraud & Identity, Credit, and core product roles, almost all in New York and in person. That in-office stance thins the applicant pool on its own. Worth noting: there's even an Android internship posted, a rarity in 2026.

The bank-data API company is hiring for AI Applications, Data Infrastructure, Security Engineering, and Credit Insights, and it's building out a European engineering org. Plaid sits in the sweet spot of this list: strong engineering brand, infrastructure-grade problems, but nothing like the applicant crush of the consumer names one tier up.

Nearly half the board is engineering. Post-IPO Chime is hiring in Lending, Financial Platform, ML Platform, and an AI Enablement team, plus the growth and data science roles a consumer bank runs on. A good target if you want consumer-scale traffic with bank-grade correctness requirements in the same job.

The smallest company on the list and one of the most engineering-dense boards in the audit. Sardine sells AI-driven fraud and compliance tooling to other fintechs, and it's hiring ML Engineers, Forward Deployed AI Engineers, and a Staff Engineer for fraud prevention. Fraud experience is the single most transferable credential in fintech right now, and this is a place to build it at the source.

The startup bank is hiring backend, fraud, AI Engineering, and Banking Integration Platform roles. Two things worth knowing: Mercury's backend is famously written in Haskell, which is either a dealbreaker or the whole reason you apply, and its brand among startup founders gives the eng team unusual product leverage for a company this size.

They're exact for the moment they were pulled: the morning of August 20, 2026, read directly from each company's public Greenhouse, Lever, or Ashby board. They are counts of postings, not unique roles (multi-office roles appear once per office), and boards change daily, so expect drift from the day you read this. We re-run the audit quarterly and update this page.

Not all of them. The counts are global. Airwallex skews APAC, Adyen and Checkout.com skew European, while Affirm, Coinbase, Chime, and Robinhood are US-centric, and Affirm and Coinbase are remote-first. Every board lets you filter by location; do that before judging a company's real volume for your region.

Because Airwallex's board is simply bigger right now, at 172 engineering postings to Stripe's 129. Stripe still has the largest total board in the audit at 566 open roles across all functions. If the question is "where are my odds best," raw posting count is the wrong metric anyway: applicant volume matters just as much, and it concentrates on the famous names at the top.

No. These teams screen for a way of thinking about correctness, money, and failure, not for years inside a bank. Billing systems, idempotent retries, fraud or abuse work, and audit-logged systems all count as fintech experience in practice. The fintech guide covers how to translate what you've already done.