TL;DR

Engineering Team Lead (Fintech/Payments): Leading product engineering across backend and client applications for a borderless finance platform, with an accent on designing, building, and operating distributed, transaction-heavy systems. Focus on setting architectural direction, integrating with stablecoin and fiat rails, and ensuring compliance by design for systems moving billions in payments globally.

Location: Remote (Europe)

Company

%hirify_global% is the world’s leading premium talent marketplace, trusted by 30,000+ clients, processing over $5B in payments across 140+ countries, and is launching a borderless finance platform.

What you will do

Lead product engineering across backend and client applications, including mobile.
Design, build, and operate distributed systems for global payments with near-zero downtime.
Set architectural direction and engineering standards for scalable services and client applications.
Ensure compliance by design (KYC/AML, fraud detection, auditability) across all flows.
Lead integrations with stablecoin and fiat rails (wallets, custodians, on/off-ramps).
Provide technical leadership and people management across backend and frontend engineers.

Requirements

6+ years building distributed, transaction-heavy systems in production.
Strong backend engineering depth (Typescript/Node.js) and experience leading cross-discipline teams.
Solid understanding of client applications (including mobile) and strong experience with PostgreSQL/Redis at scale.
Fluency in cloud technologies (AWS/GCP, Kubernetes, CI/CD, IaC).
Experience operating in regulated fintech or payments environments.
Must be based in Europe.

Nice to have

Led multi-discipline teams spanning backend and client applications.
Experience shipping fintech or payments products end-to-end.
Exposure to stablecoins, custody, or crypto infrastructure.
Acted as a senior technical leader in a fast-growing organization.

Culture & Benefits

Builder-first approach, leading by writing and shipping real systems.
Ownership mindset, taking responsibility for outcomes across systems and teams.
Execution-driven culture, prioritizing progress and delivery over ceremony.
Long-term thinking for design, scale, reliability, and team growth.
Utilizing AI tools to increase leverage and efficiency for self and team.
Remote work environment.