AI Summary
Design and develop robust server-side applications and APIs, build and maintain data management systems, and ensure high standards of code quality and security.
Key Highlights
Design and develop server-side applications and APIs
Build and maintain data management systems
Ensure high standards of code quality and security
Key Responsibilities
Design and develop robust server-side applications and APIs
Build and maintain 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
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
Technical Skills Required
Benefits & Perks
Remote work
100% remote
Nice to Have
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
Microsoft Azure
Cloud-native development
Logging & monitoring
Distributed tracing
LLM frameworks
Job Description
Location:
Off-site (100% remote)
Deadline For Application
28 .0 4 .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 ;
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- 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
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- 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
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 , info@vectorsynergy.com
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