Senior Python Developer

About the role:

The Task envisioned is to build, and maintain robust server-side applications and APIs that power CMRE Data Management Program of Work, specifically the incumbent will work  in the design and development of CMRE Data Catalogue, Data Domain Model, Data Sharing Workflow.

She/he will work within an Agile team under the guidance of the Software Architect, translating architectural designs into production-grade code while upholding high standards of quality, security, and performance.

This is a hands-on engineering role with a strong ownership mind-set and the incumbent is expected to take full responsibility for the features you deliver, from technical design through implementation, testing, and deployment.

Main responsibilities:

Back-End Development & Programming
Python: Advanced proficiency; clean, idiomatic code; familiarity with the ecosystem (virtual environments, packaging, type hints, async/await)
Frameworks: Production experience with FastAPI famwork and async best practices
OOP & design patterns: Solid object-oriented design skills; familiarity with common design patterns (factory, strategy, repository, dependency injection)
Performance: Profiling, caching strategies, connection pooling, async processing, background task queues (Celery, Dramatiq, or equivalent)
API Design & Development
RESTful APIs: Resource modelling, versioning, error handling, pagination, OpenAPI / Swagger documentation
Data formats: JSON, JSON Schema validation; familiarity with serialisation libraries (Pydantic, Marshmallow)
Event-driven systems: Message brokers (RabbitMQ, RedisQueue, Kafka, etc.), pub/sub patterns, async task processing
Databases & Data Persistence
Relational databases: Strong SQL skills; experience with PostgreSQL and/or SQL Server; schema design, indexing, query optimisation, migrations
NoSQL databases: Working knowledge of at least one document, key-value, or search store (MongoDB, Redis, Elasticsearch)
ORM & data access: Experience with ORMs (SQLAlchemy, Django ORM) and understanding
Containerisation & Linux
Docker: Writing Dockerfiles (multi-stage builds), Docker Compose for local development, image optimisation
Kubernetes: Basic understanding of K8s concepts (pods, services, deployments, ConfigMaps) for deploying and debugging applications
Linux: Comfortable with the command line; shell scripting, process management, file permissions, networking basics

Main requirements:

At least 7 years of professional experience with Python.
Expertise in SQL databases
Experience with building/consuming Rest API’s
Experience with DevOps and CI/CD tools
Knowledge in Microservices
Knowledge in Containerization using Docker
English – High level of communication skills (read, write, speak)