Software Engineer - Python/Go

You’ll be joining a lean, high-calibre engineering team building the backend infrastructure that powers a category-defining financial intelligence product. The core stack is Go, Python, and GCP - you’ll be working across Cloud Run, BigQuery, and Pub/Sub, helping to productionise financial models into scalable, API-driven services., * Build and maintain scalable backend services in Go and Python

• Deploy and manage services on GCP, using Cloud Run, BigQuery, and Pub/Sub
• Contribute to the productionisation of financial intelligence models into API-driven services
• Implement robust data pipelines using batch/streaming architectures
• Work closely with data scientists and senior engineers to translate model outputs into platform features
• Write clean, well-tested, maintainable code with a focus on long-term reliability
• Support security and authorisation workflows for enterprise-grade financial data

• Solid experience in Python and/or Go for backend service development
• Hands-on experience with Google Cloud Platform (Cloud Run, BigQuery, Pub/Sub or similar)
• Comfort working across data pipelines, APIs, and distributed systems
• Ability to operate with some ambiguity - this is a product-building environment, not a heavily specced one

Desirable

• Exposure to React or TypeScript (frontend work exists but isn’t the focus)
• Familiarity with DAG-based orchestration or streaming data concepts
• Any experience with AI/LLM integration or financial data systems

• Salary negotiable depending on experience
• Fully remote - work from anywhere in Northern Ireland
• Direct exposure to US-based leadership and product vision
• Small team, big scope - your work will ship and matter
• Opportunity to grow into a senior role as the platform scales
• Flexible working culture

A Boston-based financial intelligence platform that’s doing something genuinely different: not another reporting dashboard, but an ontology-driven intelligence layer that transforms fragmented ERP, CRM, and HR data into a clear, unified picture of profit, cost, and operational performance. Early-stage but well-funded, with a strong engineering culture and direct access to leadership.