12 meilleures offres (python developer ai) (à pourvoir)

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Senior Back-End Developer

Vector Synergy
Belgique

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Détails de l'emploi

Qualifications

CI/CD
Authentification
Elasticsearch
Azure
Kubernetes
DevOps
R
NoSQL
Git
MongoDB
Bases de données
Microservices
SQL
POO
Docker
PostgreSQL
Redis
UML
Développement back-end
Django
UX
GitHub
Linux
JSON
Tests d'intégration
Apache
Kafka
Tests unitaires
Intelligence artificielle
GitLab
Python
Shell Scripting

Description complète du poste

Location:
Off-site (100% remote)

Deadline for Application:
28.04.2026 r.

Taskings:

Designing and developing robust server-side applications and APIs supporting the CMRE Data Management Program of Work;
Building and maintaining the CMRE Data Catalogue, Data Domain Model, and Data Sharing Workflows;
Translating architectural designs and specifications into production‑grade, secure, and high‑performance code;
Working within an Agile development team under the guidance of the Software Architect;
Taking end‑to‑end ownership of delivered features, including technical design, implementation, testing, and deployment;
Ensuring high standards of code quality, security, scalability, and performance;
Participating in code reviews to maintain and improve codebase quality;
Mentoring and supporting junior developers through technical guidance and knowledge sharing;
Contributing to architectural discussions and technical decision‑making;
Proactively identifying, communicating, and mitigating technical risks and impediments;
Providing clear and timely communication on progress, issues, and blockers to the team lead and project management;
Collaborating closely with cross‑functional stakeholders to ensure successful delivery of solutions;

Mandatory requirements:

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)
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
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
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
Testing: TDD, unit testing (pytest), integration testing, mocking, code coverage; awareness of contract testing
CI/CD: Building and maintaining pipelines (GitHub Actions, GitLab CI, Azure DevOps, or equivalent); automated linting, testing, and deployment
Version control: Advanced Git usage, branching strategies (GitFlow, trunk-based), pull/merge requests, rebasing, conflict resolution
Code quality: Static analysis, linting (Ruff, flake8, mypy), code review best practices, documentation (docstrings, ADRs)
Secure coding: OWASP Top 10 awareness, input validation, output encoding, secrets management
Authentication & authorisation: OAuth 2.0, OpenID Connect, JWT; experience integrating with identity providers (Keycloak, Entra ID, or equivalent)
API security: Rate limiting, CORS, TLS, API key management
Architecture literacy: Ability to read and contribute to architectural documentation (C4, UML); understanding of microservices, event-driven, and layered patterns
Agile: Active participation in sprint ceremonies, backlog refinement, estimation, and retrospectives
Communication: Clear reporting of progress and blockers; collaboration with architects, front-end developers, QA, DevOps, and UX designers
English proficiency: Excellent written and spoken English in a professional/international context

Desirable requirements:

Knowledge of data management principles and practices
Experience in working with metadata standards such as: Dublin Core, ISO 19115, STANAG 2586
Knowledge of Semantic Web and related standards and technologies: W3C DCAT, RDF, Apache Jena, etc.
Microsoft Azure: Entra ID, Azure DevOps, Key Vault, etc.
Cloud-native development: Managed databases, serverless functions, environment configuration, cloud logging and monitoring
Logging & monitoring: Structured logging, centralised log aggregation, application metrics (Prometheus, Grafana, or equivalent)
Distributed tracing: OpenTelemetry instrumentation for backend services
LLM frameworks: Experience with orchestration frameworks (e.g. LangChain, LlamaIndex, etc.) and LLM gateway/routing libraries (LiteLLM)
RAG pipelines: Document ingestion, embeddings, vector stores (pgvector, Qdrant, Elasticsearch), retrieval strategies
AI-assisted development: Prompt engineering for code generation; familiarity with AI coding assistants and their effective use in workflows

VECTOR SYNERGY sp. z o.o., ul. Marcelińska 90, 60-324 Poznań, NIP PL7811857270, REGON 301575740, KRS: 0000369575
Rejestr Przedsiębiorców KRS prowadzony przez Sąd Rejonowy Poznań – Nowe Miasto i Wilda w Poznaniu, VIII Wydział Gospodarczy KRS, kapitał zakładowy wynosi: 73.852,80 złotych wpłacony w całości, TEL +48 616684500, FAX +48 616684501, www.vectorsynergy.com, [email protected]

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