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Prop Firm Match Global – FZCO • Armenia
Role & seniority: Automation & Workflow Engineer (senior-level; focused on production-grade automation and AI-powered workflows)
Stack/tools: n8n; Python; TypeScript; API integrations (REST/GraphQL/OAuth/webhooks); CI/CD; Git; familiarity with Make/Zapier/Tray.io and observability tooling is a plus
Deliver high-impact automations for core workflows (60–90 days; MVP to production)
Build robust, modular, well-architected workflows with proper error handling, retries, and observability
Own API integrations end-to-end (internal/external APIs; handling pagination, auth refresh, rate limits; ensure uptime and reliability)
Proven production-grade automation experience in n8n or similar tools (Make, Zapier, Tray.io, Airflow, Prefect)
API integration expertise with complex requirements (pagination, auth, rate limits, fallbacks)
Software engineering: Python or TypeScript (ideally both); CI/CD, Git workflows, debugging, testing
Reliability & observability: logging, alerts, dashboards
Ownership: ability to take ideas from concept to production and provide post-implementation support
Familiarity with prop trading industry and platform dynamics
Experience with live dashboards, error queues, and monitoring at scale
Strong written/async communication; pragmatic, ROI-focused approach
Location & work type: Remote (global); full-time; flexible PTO; remote-first with collaboratio
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.