Senior Back-End Developer

Responsibilities 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 ; 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 ; 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 View phone number on click.appcast.io, FAX View phone number on click.appcast.io, , View email address on click.appcast.io #J-18808-Ljbffr Vector Synergy