Embed senior engineers with deep financial domain expertise — from payment gateways and core banking APIs to compliance-ready platforms. Ready to contribute in 2–4 weeks.
From payment infrastructure to lending platforms and wealth management tools, our developers understand the intersection of finance and software.
Stripe, Razorpay, PayPal, and custom payment rails — secure, PCI-compliant, and battle-tested transaction flows.
Open banking integrations, account aggregation, and real-time transaction processing with leading banking APIs.
Order management systems, portfolio trackers, and real-time market data dashboards built for performance and compliance.
AML, KYC, and identity verification workflows built to regulatory standards — GDPR, PSD2, RBI compliant.
Machine learning models for fraud detection, credit scoring, and transaction risk assessment.
Multi-tenant financial SaaS products — from lending software to expense management and insurance tools.
Domain expertise is non-negotiable in FinTech. Our developers understand regulatory requirements, financial data sensitivity, and the performance demands of money-moving systems.
Our FinTech developers understand GDPR, PSD2, RBI, PCI DSS, and AML requirements — compliance is built in, not bolted on.
Pre-vetted engineers with FinTech domain experience. No ramp-up on financial concepts — they contribute from sprint one.
Rigorous screening across algorithms, system design, domain knowledge, and communication. Only the best make our bench.
Real-time collaboration in your working hours. Live standups, reviews, and Slack responsiveness as standard.
Financial systems demand zero tolerance for security gaps. Our developers follow OWASP standards and conduct regular threat modelling.
Add capacity during regulatory sprints or product launches. Scale back between phases with no long-term commitment.
From cutting-edge frameworks to proven enterprise tools — our talent covers every layer.
Our developers integrate fully into your culture, tools, and rituals — not just your task board. Here's why engineering teams trust UpNext.

We screen for both technical depth and financial domain expertise. Our developers have built payment gateways, core banking integrations, and compliance systems — not just CRUD apps.
Not sure if staff augmentation is the best fit? Here's how it compares to other approaches.
Best for you Staff Augmentation | Dedicated Team | Full Outsourcing | |
|---|---|---|---|
| Scale team as needed | ✓ | ✓ | ✓ |
| Developers on your team | ✓ | — | — |
| You manage the process | ✓ | ✓ | — |
| Entire team managed by us | — | ✓ | ✓ |
| Full project delegation | — | — | ✓ |
| Fast onboarding (2–4 wks) | ✓ | ✓ | — |

Tell us about your software project — whether it's an AI/ML solution, a Python backend, a SaaS platform, a Flutter app, or custom software. We'll assess your requirements, timeline, and budget to map out the right approach.
Within days, we hand-pick engineers with the exact expertise your project demands — AI/ML, Python, Django, Flutter, SaaS architecture, full-stack, or any combination.
Your dedicated software team hits the ground running — writing code, shipping features, and iterating fast. Scale up or down as your product evolves.
Financial software fails differently from other software. A bug in a marketing site is embarrassing; a bug in a ledger is a reconciliation project, a regulatory conversation, or money that left and did not arrive. That difference should shape how you hire, and mostly it does not — teams interview FinTech engineers the same way they interview everyone else and find out what was missing in production.
This is the question that determines everything after it, and it is worth answering honestly rather than defaulting to "both, obviously".
A payments integration, a KYC flow, or anything touching a ledger needs someone who has done it before. The knowledge that matters is not the API documentation — it is knowing that a payment can succeed at the provider and fail at your end, that a reconciliation file arrives late on bank holidays, and that "idempotent" is a requirement rather than a nice-to-have. That is learned by having been burned, not by reading.
A dashboard, an internal tool, or a customer portal that happens to sit in a financial company mostly needs good engineers. Insisting on FinTech experience for that work narrows your pool and raises your cost for no benefit.
Most technical interviews establish that someone can build the thing when everything works. In financial software the value is almost entirely in what happens when it does not.
Questions that separate people quickly:
Compliance is where job descriptions go vague — "PCI DSS, GDPR, PSD2, RBI, AML" listed together as though they were one skill. They are different obligations with different triggers, and most products are subject to a few rather than all.
Work out which ones actually bind you before you interview for them. If you never touch card data because a provider handles it, PCI DSS scope is far smaller than the acronym suggests, and hiring for deep PCI experience is spending on a problem you have designed away. If you move money in India, RBI guidance and data-localisation rules matter more than anything European.
Then interview for the ones that bind. A candidate who can explain why your particular integration keeps you out of scope understands compliance better than one who recites all five.
The shape of the arrangement determines who is available to you, and getting it the wrong way round is how hiring stalls for a quarter.
Interviews measure interviewing. A week of real work in your codebase measures the thing you are buying, and in financial software the gap between the two is wider than usual — the engineers who are careful about money are often not the ones who are quickest at whiteboard puzzles.
Make it paid. A free trial pressures everybody to perform rather than work normally, which is the opposite of what you want to observe.
Rates for FinTech engineers sit above general backend work, for the straightforward reason that the supply of people who have shipped a payment system is smaller than the supply of people who have shipped an API.
What moves the number, in rough order: seniority, how long the engagement runs, how much domain depth the work genuinely needs, and your timezone requirement. A six-month engagement costs less per hour than a six-week one; insisting on full overlap with US Pacific costs more than a European or Indian morning.
We quote against the actual requirement rather than publishing a band, because a band is wrong for most of the people reading it. Ask on a call and you will have a number the same day.
Can't find your answer? Reach out — we're happy to talk through your specific situation.
Tell us what you're building and we'll match you with the right engineers from our vetted bench — fast.