Insurtech combines three things that each make engineering harder, and it combines them at once. Insurance is heavily regulated, so what you build has compliance obligations baked in. It runs on complex risk and actuarial data, so the logic is genuinely intricate rather than simple CRUD. And it lives in an industry full of decades-old legacy systems you often have to integrate with, so a modern product frequently has to talk to something ancient. The engineers you want can handle all three, regulation, complexity, and legacy, without treating any as a problem for someone else to solve.
Key Takeaways
- Insurtech is heavily regulated, so compliance is built into the engineering.
- Risk and actuarial data make the domain logic genuinely complex, not simple CRUD.
- Legacy system integration is common, since insurance runs on old infrastructure.
- Hire engineers comfortable with regulation, complexity, and integration together.
Regulation and Complexity Are Built In
Insurance is one of the most regulated industries there is, and that shapes engineering from the start: how data is handled, what can be automated, what has to be auditable and compliant. An engineer who treats regulation as a nuisance to route around rather than a constraint to design within will build things you cannot ship. Alongside that sits real complexity, insurance is about pricing risk, which involves intricate actuarial logic, many interacting variables, and rules that are anything but simple. This is not a domain where you wire up basic forms; the business logic itself is hard, and an engineer who wants only straightforward CRUD work will struggle with what insurtech actually is.
The Legacy Integration Reality
The third defining feature is legacy. Insurance is an old industry running on old systems, and a modern insurtech product very often has to integrate with decades-old infrastructure, exchanging data with systems built long before your startup existed. This integration work is unglamorous and genuinely skilled: understanding old data formats, building reliable bridges to systems you cannot change, handling the quirks of software that predates modern practices. An engineer who has only built greenfield modern apps may be unprepared for how much insurtech work involves making the new talk to the old (the reality of legacy code covers the adjacent instinct).
| Insurtech demand | What it requires |
|---|---|
| Heavy regulation | Designing within compliance from the start |
| Risk and actuarial data | Comfort with genuinely complex logic |
| Legacy systems | Skill integrating with old infrastructure |
| Auditability | Building traceable, compliant systems |
A Concrete Version
Ask a candidate how they would build a feature that prices a policy and records it. A strong insurtech engineer sees the full shape: the pricing involves complex risk logic that has to be correct, the whole thing has to be auditable and compliant with regulation, and the data may need to flow to or from an existing legacy system. They treat all three as part of the problem. A candidate without domain experience tends to design a simple pricing form and storage, missing the regulatory obligations, underestimating the actuarial complexity, and assuming a clean modern data flow that insurtech rarely offers. That gap shows whether they understand the domain or just its surface.
The Honest Counterpoint
Prior insurance experience helps and is not strictly required, though insurtech leans more toward valuing domain background than some fields. The transferable instincts, comfort with regulation and complex logic, come from adjacent regulated and data-heavy domains like fintech, and legacy-integration skill comes from anyone who has worked in older enterprise environments. What is harder to shortcut is patience for the domain's genuine complexity and its unglamorous legacy work; an engineer who only wants clean greenfield problems will be unhappy regardless of raw skill. Hire for the transferable instincts plus real tolerance for regulation and legacy, and treat prior insurance experience as a meaningful plus rather than an absolute gate.
Cost and Sourcing
A senior insurtech engineer in the US commonly runs $150 an hour or more, with genuine regulatory and legacy-integration experience at the top. Nearshore in Latin America, the same seniority lands around $60 to $95 an hour, with the overlap that helps because compliance and integration issues are often urgent and cross-functional (hiring engineers for a fintech startup covers the closely related regulated-finance instinct). Screen for engineers who can hold regulation, complexity, and legacy integration at once, and hold the bar with a rigorous vetting process. See available engineers.
Frequently Asked Questions
What is different about hiring for an insurtech startup?
Insurtech combines heavy regulation, complex risk and actuarial logic, and frequent integration with decades-old legacy systems. Engineers have to handle all three at once, which a standard modern-app background often does not prepare them for.
What should I test in an insurtech engineering interview?
Whether a candidate designs within regulatory constraints, is comfortable with genuinely complex domain logic rather than only simple CRUD, and has the skill and patience for integrating with old legacy systems.
Do insurtech engineers need prior insurance experience?
It helps more here than in some fields, but is not strictly required. Regulation and complex-logic instincts transfer from fintech, and legacy-integration skill from enterprise backgrounds. Tolerance for the domain's complexity and legacy work matters most.
How much do insurtech engineers cost?
In the US, commonly $150 an hour or more for a senior. Nearshore in Latin America, around $60 to $95 an hour at the same seniority.
The Bottom Line
Insurtech engineering sits at the meeting point of heavy regulation, complex risk logic, and legacy integration, and it demands engineers who can carry all three at once. The best hires design within compliance, are comfortable with genuinely intricate domain logic, and have the skill and patience to make modern products talk to decades-old systems. Those instincts transfer from fintech and enterprise backgrounds, so screen for them plus real tolerance for the domain's complexity, and treat prior insurance experience as a strong plus rather than a hard gate.
Roberto Espinoza is CEO of Ruzora, which helps US startups hire pre-vetted senior LATAM engineers, with a vetted shortlist in 72 hours. See available engineers.
