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Praha, Česko
Hybrid
FTMO is the prop firm traders trust. OANDA is a regulated global broker, now part of the FTMO group. An exceptional trading experience sits at the centre of both: it is what traders use every day to find opportunities and execute with confidence.
We are building a new flagship trading platform, and this role sits at the heart of it - in our trading middleware: the services that connect client platforms and APIs to the trading engine, covering order routing, price streaming, and account and position data.
Each part of the offering is owned by a small AI-first team: 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. This hire is one of those Product Engineers and reports to the Product Engineering Lead.
The backend for the trading experience. Designs and builds the backend services and APIs that the native and web apps use: backend-for-frontend endpoints, real-time price and position streams to clients, and order and account flows, integrated with the trading middleware currently developed in Node.js and Go.
Measure at the core. Defines SLIs and measures them against the SLOs in all environments; makes decisions based on data and decides on the technology based on SLAs
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.
Across the stack. Picks up web or mobile client work when the slice needs it, so a feature can go from API to screen without a hand-off.
Quality and release. Owns automated and contract tests, feature flags, and latency and error-rate monitoring for their services. Takes part in incident response and post-incident reviews for the team's areas.
Regulated delivery. Builds changes that meet regulatory requirements across jurisdictions, 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 an API or a real-time stream. AI has already changed how they work, not just which tools they use.
Hands-on backend engineer in Node.js (TypeScript) or Go: has built and run production services and APIs (REST, WebSockets or gRPC) behind a consumer-facing app at scale.
Strong, type-safe code in TypeScript (strict mode, discriminated unions, generics) or Go (interfaces, generics, explicit error handling): uses the type system to model the domain and prevent invalid states.
Solid grasp of their language's concurrency model (the Node.js event loop and async programming, or Go goroutines, channels and context), and how to keep services responsive under load.
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), CI/CD, feature flags, and monitoring and observability for backend services.
Works well with product management and product design, writes clearly, and pushes back on scope when quality or client safety is at risk.
English language at C1 level or above.
Real-time streaming: WebSockets or gRPC streaming, price fan-out to many clients, conflation and throttling.
Event-driven architecture (Kafka or similar), Protobuf.
Client-side experience in React/TypeScript or native mobile (Swift, Kotlin), or backend-for-frontend design for native and web apps.
GCP, Kubernetes (GKE) and OpenTelemetry.
Experience with trading platforms, FX, CFDs or other regulated financial products.
Has built tooling for agents: custom agents, MCP servers, or automated evaluation of generated code.
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.
