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Engineering Jobs at Top Fintech Companies

Our team at Simplify has curated a list of top fintech companies' best software engineering jobs. We’ve included jobs at VC-backed startups, fintech unicorns like Plaid and Stripe, and Fortune 500 companies reinventing digital finance.

You’ll find positions like Software Engineer, Backend Developer, Frontend Engineer, and Full Stack Developer, with responsibilities spanning API development, payment infrastructure, cloud-native backend systems, mobile financial products, and BaaS (Banking-as-a-Service) platforms. Most roles require experience with Python, React, Node.js, TypeScript, PostgreSQL, AWS, Kubernetes, and other modern dev stacks used by top fintech companies.

Work setups include fully remote engineering jobs, hybrid roles in NYC or SF, and on-site fintech roles in tech-forward cities like Toronto, London, and Boston. Whether you want to join an early-stage Series A startup, a hypergrowth fintech unicorn, or a public fintech scaleup, this list has positions across company sizes and stages. These jobs often come with competitive salaries ($100K–$200K+), equity, startup perks, and the chance to work on systems that move real money, handle real data, and impact millions of users.

Simplify’s job list pulls directly from verified career pages of top fintechs, updating daily to include only actively hiring positions.

1,022
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Featuring roles at
Canva
Netflix
Notion
Visa
Capital One
& 100K+ more

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The companies on this list group into a few recognizable segments. In payments and infrastructure: Stripe, Adyen, Block, Checkout.com, and Plaid. In consumer finance and banking: Chime, SoFi, Robinhood, Affirm, Upstart, and Monzo. In business finance and spend management: Brex, Ramp, Navan, and Mercury. In cross-border payments: Wise, Airwallex, and Payoneer. In crypto and digital assets: Coinbase, Circle, and Fireblocks. In wealth and asset technology: Addepar. Hiring volume shifts quickly with funding and market conditions, so treat these as research starting points and check each company's careers page for what is currently open.

Mostly ordinary software engineering applied to money, which changes the constraints more than it changes the technology. Common work includes building payment and transaction systems where correctness is non-negotiable, integrating with banks and card networks whose interfaces are old and unforgiving, building ledgers that have to reconcile exactly, implementing fraud and risk detection, and building the controls that satisfy auditors and regulators. The distinguishing feature is the cost of failure. A bug in most consumer software degrades an experience, while a bug in a ledger moves real money and creates a legal problem. Engineers here spend proportionally more time on correctness, auditability, and testing.

No, and most fintech engineers do not have one. Companies hire for engineering ability and expect you to pick up the domain, which is usually a matter of weeks for the fundamentals: how a card transaction settles, what a ledger entry represents, and why reconciliation exists. What does help is genuine curiosity about the domain, because engineers who understand why a constraint exists design better systems than those treating requirements as arbitrary. In interviews, prior finance knowledge is rarely tested directly, but being able to reason about correctness, edge cases, and failure states in a system that moves money is tested constantly. That reasoning is learnable without a finance degree.

Considerably more than most candidates search for. These companies run substantial data and analytics organizations, because risk modeling, fraud detection, and underwriting are core to the business rather than support functions. Infrastructure, platform, and reliability roles are prominent, since uptime requirements are stricter than in most consumer software. Security engineering is heavily staffed for obvious reasons. Quantitative roles appear at the trading, lending, and crypto companies. Machine learning engineers work on fraud, credit, and personalization. Engineering management tracks are well established at the larger firms. Searching only for software engineer will miss a large share of the openings.

Backend and distributed systems ability leads, because most of the hard problems are about consistency, concurrency, and reliability under load. Expect real scrutiny of how you handle partial failure and retries, and how you guarantee that an operation which runs twice does not move money twice. These come up in interviews far more than at a typical consumer product company, because they are the actual job. Database depth matters, particularly around transactional guarantees. Security awareness is assumed rather than treated as a specialty. Familiarity with cloud infrastructure is standard. Payment or banking domain knowledge is a genuine differentiator but is not expected of candidates from other sectors.

At the large, well-funded fintech companies it is broadly competitive with big tech, and some pay above it for senior infrastructure and security roles where the talent pool is thin. The composition differs. Public companies offer stock you can sell, while private ones offer equity that may be worth a great deal or nothing, so the two are not directly comparable at face value. Compensation in this sector is also more cyclical than in enterprise software, tracking interest rates, funding conditions, and crypto markets depending on the segment. Posted ranges are the most reliable source, and secondhand figures from a different market phase are frequently stale.

More geographically spread out than most technology sectors, because financial services clusters around several established centers. In the United States, New York and the Bay Area dominate, with meaningful concentrations in Chicago, Austin, and Atlanta, which has been a payments processing hub for decades. Internationally, London remains the largest fintech employment market outside the US, with substantial activity in Dublin, Singapore, Toronto, Berlin, and Bangalore. Many of the companies on this list hire across several of these at once. Licensing rules often tie specific roles to specific countries, so a posting's location requirement is more often a hard constraint here than in other sectors.

Partly, and less so than software generally. Several fintech companies were remote-first from the outset and hire across many locations, while others have moved firmly back to hybrid. The constraint specific to this sector is regulatory. Firms holding banking, lending, or money-transfer licenses face rules about where staff are located and how systems are accessed, which can restrict remote work for roles touching production financial systems or customer data. Security requirements also push some employers toward company-managed laptops and controlled environments. Remote roles that do exist usually carry explicit country or state eligibility lists. Read the location line carefully rather than assuming flexibility.

The larger and more established ones commonly do, particularly for backend, infrastructure, security, and machine learning roles where hiring is competitive. Companies like Stripe, Coinbase, Block, and Affirm have long sponsorship histories, while smaller and earlier-stage fintechs frequently have no process. One constraint is specific to this sector. Roles at firms holding banking or securities licenses sometimes require particular background checks or regulatory registrations, and a small number of positions carry citizenship or residency requirements tied to government or defense-adjacent financial work. These are normally stated in the posting. Ask early. This is general information, not immigration advice.