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Prop Firm Match Global – FZCO • Poland
Role & seniority: Automation & API Integration Engineer (mid–senior level) focused on production-grade automations and AI-powered workflows for Prop Firm Match Global FZCO.
Stack/tools: n8n (primary), Python, TypeScript; API integrations (REST/GraphQL/OAuth/webhooks); CI/CD, Git workflows; observability tools (logs, dashboards, alerts).
Build, maintain, and scale automations for core workflows (Ops, Growth, Content, CS, Risk) with MVPs within 60–90 days; deliver 3+ live production workflows.
Design robust, modular workflows with retries, error handling, alerts, and idempotency; ensure reusability and quick peer adoption.
Own end-to-end API integrations (up to date with auth, pagination, rate limits, webhooks); maintain >99% uptime and reliable failure handling; establish observability.
Proven production-grade automation engineering in n8n or similar (Make, Zapier, Tray.io, Airflow, Prefect) with modular components.
Strong API integration experience (pagination, auth refresh, rate limits, error fallback).
Software engineering fundamentals in Python or TypeScript; CI/CD, debugging, testing.
Reliability & observability: logs, alerts, dashboards; incident awareness.
Ownership mindset: track record from idea to spec to production support.
Experience with live dashboards, alerting, and operational runbooks used by non-technical stakeholders.
Familiarity with prop trading or
About Prop Firm Match Global FZCO Prop Firm Match Global FZCO is the leading platform for discovering, comparing, and selecting proprietary trading firms. We help traders make confident, informed decisions by offering side-by-side comparisons, verified reviews, and data-backed insights from the top prop firms worldwide. Our mission is to bring transparency, access, and clarity to the prop trading space. Role Mission Build, maintain, and scale reliable automations and AI-powered workflows that streamline operations across Prop Firm Match. This role turns ideas into production-grade systems using n8n, Python/TS, and API integrations, ensuring high reliability, observability, and measurable business impact. Top 6 Performance Objectives
Deliver MVP versions fast, iterate based on feedback. Outcome: At least 3 production workflows live within 90 days, saving time or reducing errors by measurable %.
Monitor upstream failures and design fallback strategies. Outcome: Integrations run with >99% uptime and zero silent failures.
Document workflows: purpose, logic, variables, failure modes, key integration points. Create simple runbooks for non-technical stakeholders to triage basic failures. Outcome: Anyone can understand the system state within 15 minutes.
Provide continuous feedback to improve architectural standards. Outcome: Automations delivered match business outcomes, not just technical specs. Must-Have Qualifications
Automation & Workflow Engineering: Built production-grade automations in n8n or similar tools (Make, Zapier, Tray.io, Airflow, Prefect). Experience structuring workflows into reusable components.
API Integration: Built reliable API integrations with advanced requirements (pagination, auth refresh, rate limits, error fallback).
Software Engineering Foundation: Strong hands-on experience with Python or TypeScript (ideally both) Experience with CI/CD, Git workflows, debugging, testing.
Reliability & Observability: Implemented logs, alerts, dashboards, or monitoring systems.
Ownership Mindset: Successfully took projects from vague idea → spec → implementation → production support.
Systems thinker: sees cause–effect chains, avoids messy hacks. Clear written communicator (async-friendly). Pragmatic and fast — focuses on ROI, not over-engineering. Comfortable pushing back when requirements are unclear or suboptimal.
Hiring Quiz - Self-Paced: A short, structured assessment to understand your background. (Async; ~10 minutes)
HR Deep Dive: A conversation focused on your motivation, ownership style, culture fit, and your past accomplishments.
Technical Interview with Head of Engineering & CTO: A 60–75 minute session focused on:
System design approach Including a Live Demo: You’ll be asked to show how you would build or troubleshoot a workflow using n8n or code - focusing on your thought process, not perfection.
Technical Assignment: A more advanced automation + API + reliability challenge, designed to reflect real work at PFM. We review code quality, modularity, error-handling, clarity, and overall architecture.
(Optional / On-Demand) Interview with Top Management: A strategic conversation to align expectations, understand long-term contribution, and ensure cultural alignment with PFM leadership.
Offer Stage: If successful, we begin with an informal offer discussion, followed by a formal written offer.