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Praha, Česko
Hybrid
OANDA is a regulated global broker with offices around the world, now part of the FTMO group. Our focus is to make OANDA the trader's choice through a great trading experience. That experience starts before the first trade: opening an account, logging in and funding it must be fast, simple and trustworthy in every market we operate in.
These journeys are owned by small AI-first teams: a Product Engineering Lead with one or two Product Engineers, working in partnership with product management and using AI agents to do much of the implementation. Each team owns its slice end to end: the Python services on GCP at its core, the integrations with KYC/AML vendors, banks and payment providers, and the React screens clients see.
This hire is one of those Product Engineers and reports to the Product Engineering Lead. They use AI in a way that accelerates delivery but does not jeopardise the security, accessibility, correctness and regulatory compliance these flows require.
Services and APIs. Designs, builds and runs the services that power onboarding and funding, currently developed in Python on GCP, and the APIs the frontend React apps use.
Across the stack. Picks up frontend work when the slice needs it, so a feature can go from service to screen without a hand-off.
Product outcomes. Works with the Product Engineering Lead, product management and product design on the team's slice: helps shape the problem, decide what to build, and is measured on client outcomes, not output.
Spec driven development. Creates specs and ships with agents every day within the team's workflow and guardrails, holds generated code to the same bar as human code, and suggests improvements to how the team works.
Integrations. Builds reliable integrations with KYC/AML vendors, banks and PSPs, handling retries, idempotency, webhooks, timeouts and provider outages, and makes sure the UI handles loading, error and save-and-resume states.
Quality and operability. Owns automated and contract tests, feature flags, observability and alerting for their services, and the front-end tests their changes need. Takes part in incident response and post-incident reviews for the team's areas.
Correctness and compliance. Ensures every process ends in a known, auditable state, clients always see an accurate status, required disclosures and consents are captured, and each region's regulatory requirements are met, working with the Lead, compliance and risk.
A product engineer with deep backend experience who thinks in client outcomes and builds with AI agents every day. They are as comfortable shaping a problem with product management and design as they are designing a service or a provider integration, and can carry a feature into the React front end when needed. AI has already changed how they work, not just which tools they use.
Hands-on backend engineer in Python: has built and run production services and APIs behind a customer-facing product.
Strong command of modern Python: type hints, async, testing and packaging. Uses the type system to model the domain and prevent invalid states.
Experience integrating with third-party APIs where failures, retries, duplicates and webhooks matter.
Solid data modelling with relational databases (e.g. PostgreSQL), including transactions and consistency.
Experience running services on a public cloud, with containers, CI/CD and observability.
Working production experience with React and TypeScript: can take a feature from API to screen.
Product engineering track record: has owned features from problem to outcome and can name a client metric they moved.
Builds with AI agents daily (for example Claude Code, Cursor or Codex): spec-driven development, directing agents, and reviewing and testing what they produce. Can show how their own workflow has changed.
Automated testing (unit, integration, contract), feature flags and safe rollouts.
Works well with product management, product design and compliance, writes clearly, and pushes back on scope when quality or client safety is at risk.
English language at C1 level or above.
Production experience with GCP (e.g. GKE, Cloud SQL, BigQuery) and infrastructure as code (e.g. Terraform).
FastAPI, and async or event-driven processing (Kafka).
Payment state machines, ledgers and reconciliation.
KYC/AML, identity verification, PSP or open banking integrations.
Knowledge of financial-services regulation such as AML rules, PSD2 or GDPR.
Deeper front-end skills: React state and server-state management, design systems, WCAG accessibility, multi-step forms and localisation.
Experience in payments, fintech, banking, brokerage, FX or CFDs.
Has built tooling for agents: custom agents, MCP servers, or automated evaluation of generated code.
Czech or Polish language.
We are a Czech fintech that, since 2015, has grown from an idea into a global project. 🚀
300+ amazing teammates. We’re a great team who learn from each other every day.🤜🤛
How do we work? We focus on meaningful work and open communication, while only adopting processes that make our lives easier.
Prague, Národní třída. Enjoy our modern offices at the Quadrio shopping center, offering beautiful views and excellent accessibility.
What if I don’t trade? No worries. We’ll show you what our product is all about and introduce you to the basics of trading.
Free fruit, snacks, and coffee are always within reach in the office.
How do we promote strong relationships and well-being? Company cottage, team building events, and running club.
Flexible hybrid model. We prefer collaborating in person to keep the team spirit high, but we offer the flexibility you need to stay balanced.
*The benefits mentioned above apply to FTMO on-site employees in our Prague office.
