Senior Engineer - (Python Backend)

What We Build

• Order Management Fulfillment - Millions of orders monthly, warehouse operations, inventory across locations
• Financial Systems - Automated accounting, bank reconciliation, revenue recognition for merchants processing millions in revenue
• Integrations - Shopify, Amazon, 3PLs, carriers, EDI - thousands of orders per minute flowing through our connectors

A Typical Week

• Monday: Lead design review for a system that needs to handle 10x current scale. Whiteboard with the team, make the architecture call.
• Tuesday: Build a prototype. Benchmark against production data. Ship the first version.
• Wednesday: Call with a merchant. Walk through their operations - whether that's warehouse workflows, month-end close, or multi-channel selling. Translate their problems into solutions.
• Thursday: Code review for SDE-IIs. Guide them on edge cases, performance, and reliability patterns.
• Friday: Deploy to production. Monitor it handling real traffic. Start planning next week.

What You'll Own

• Architecture decisions that affect millions of transactions
• System reliability and performance at scale
• Technical direction for your domain (with Product Lead)
• Mentoring engineers on your team
• Direct relationships with merchants using your systems

What We're Looking For

• 6+ years building backend systems
• Expert Python skills - you've worked in large, mature codebases
• Deep PostgreSQL knowledge: query optimization, transactions, data integrity
• Experience with distributed systems: Celery, Redis, RabbitMQ, or similar
• Strong debugging skills across services and system boundaries
• Clear communication with both engineers and non-technical stakeholders
• You ship fast and take ownership

Bonus points for experience in:

• E-commerce, logistics, or warehouse systems
• Financial systems, fintech, or accounting software
• Integration platforms, third-party APIs at scale

Tech Stack

• Python
• Flask
• PostgreSQL
• Redis
• Celery
• RabbitMQ
• SQLAlchemy
• Kubernetes
• pytest
• Claude Code
• etc.

Our Approach to AI

What We Do

• Leverage LLMs (OpenAI API, Claude API) to embed AI-driven capabilities into Fulfil's ERP, powering natural language interfaces, intelligent automation, and merchant-facing insights (e.g., Fulfil x MCP integrations with Claude).
• Focus on AI for commerce operations - integrating models to solve real problems like order management, financial analysis, customer insights, and logistics optimisation.

What We Don't

• We are not a core ML/AI research company - we don't train or fine-tune foundation models.
• We focus on integration and productisation of AI, not building new ML frameworks or developing custom model architectures.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.