Senior Python Engineer

Role Overview

• Design and build scalable, production-ready Python services and REST APIs for document processing, workflow automation, and AI integration
• Take full ownership of features across the complete lifecycle: from technical spec and architecture to deployment and production support
• Leverage agentic coding workflows and AI-assisted development tools to maximise development speed and quality
• Build and integrate with MCP (Model Context Protocol) servers and no-code automation tooling
• Develop and maintain robust automated test suites (unit, integration, and end to end)
• Work closely with Engineering Managers, Product, and peer engineers in a fast paced Dublin/Porto team
• Stay current with the latest developments in Python, AI/LLM tooling, and document automation technologies
• Apply CI/CD practices throughout the development process, ensuring reliable and frequent releases
• Share knowledge, contribute to technical standards, and mentor more junior engineers

Requirements

• 5+ years’ professional experience in backend software development with Python as a primary language
• Strong Python engineering skills: OOP, async patterns, REST API design, and clean architecture
• Demonstrated experience with agentic coding workflows and AI-assisted development from spec to production
• Experience using SQL & NoSQL databases like Postgres, MySQL, MongoDB, DynamoDB. Extra Bonus points for DynamoDB.
• Experience building and deploying cloud-native applications on AWS or Azure using Docker, Kubernetes, and infrastructure-as-code
• Experience with a modern Web/API Framework like FastAPI, Litestar, Robyn, Django DRF. Bonus points for FastAPI
• Experience with asynchronous background processing patterns and workflow orchestration, including AWS Lambda, AWS Step Functions, SQS, Argo Workflows, Azure Functions, Celery and other related event-driven architectures (bonus points for AWS Lambda).
• Hands-on experience with CI/CD tooling and modern DevOps practices
• Strong understanding of testing practices and quality engineering
• Excellent communication skills and experience working in a collaborative agile team
• Comfortable working at pace in a dynamic, fast-moving product environment.

Tech Stack

• AWS
• Azure
• Cloud
• Django
• Docker
• DynamoDB
• Kubernetes
• MongoDB
• MySQL
• NoSQL
• Postgres
• Python
• SQL

Benefits

• Health insurance
• Dental coverage
• Vision coverage
• Flexible working hours
• Flex Time Off
• Hybrid Work
• Pension/401k matching