Python Developer with MongoDB

Project description

The programme is building a resilient, secure, production-grade platform of Python backend services, REST APIs, asynchronous processing components and external integrations, backed by MongoDB and delivered through a React/TypeScript operational user interface with auditable operations and role-based enterprise user journeys. As a Python backend developer with MongoDB exposure, you will design and deliver well-structured, testable, asynchronous backend services and APIs for the platform, with a full-stack delivery mindset – owning features from data model through API to UI.

Responsibilities

• Design well-structured, testable backend services and APIs with clean module boundaries and separation of concerns.
• Build asynchronous services with FastAPI/Uvicorn and Pydantic-based data modelling.
• Apply SOLID, object-oriented design and pragmatic design patterns (factory, strategy, repository, adapter, state, saga, outbox, CQRS).
• Drive design through TDD with strong unit and integration coverage of business-critical paths.
• Engineer resilience for external dependencies: circuit breakers, retry with exponential backoff and jitter, bulkheads, timeouts and stale-data fallback.
• Build security into the control flow: OAuth2/OIDC, mTLS, RBAC, maker-checker, secrets management.
• Integrate REST APIs with OAuth2 bearer flows, retries, idempotency and error mapping.
• Own features end-to-end from data model through API to UI, using Git/GitLab and CI pipelines.

SKILLS

Must have

• Years of experience: 8+ Must have:
• Strong Python service design: type hints, clean module/package boundaries, separation of concerns.
• Async Python (asyncio, async HTTP clients) and FastAPI/Uvicorn with Pydantic.
• SOLID principles, object-oriented service design and design patterns in practice.
• Test-driven development (TDD).
• REST API integration: OAuth2 bearer flows, retries, exponential backoff, idempotency, error mapping.
• Concurrency and distributed-systems correctness: sagas, outbox, FSMs, idempotency, eventual consistency.
• Full-stack delivery mindset.
• Git/GitLab, automated testing and CI pipelines.
• MongoDB (or comparable NoSQL): data modelling, pymongo/Motor, transactions/replica sets, CQRS read models.
• React + TypeScript SPA: components, state management (TanStack Query / Redux Toolkit), API integration.
• Containers & Kubernetes/OpenShift: stateless services, config/secrets, leader election in a CaaS environment.
• Schedulers/workers (Celery, APScheduler, Temporal, Airflow) and leader-election/queue patterns.

Nice to have

• Payments or RTGS/SWIFT domain experience.

Responsibilities

• • Design well-structured, testable backend services and APIs with clean module boundaries and separation of concerns. • Build asynchronous services with FastAPI/Uvicorn and Pydantic-based data modelling. • Apply SOLID, object-oriented design and pragmatic design patterns (factory, strategy, repository, adapter, state, saga, outbox, CQRS). • Drive design through TDD with strong unit and integration coverage of business-critical paths. • Engineer resilience for external dependencies: circuit breakers, retry with exponential backoff and jitter, bulkheads, timeouts and stale-data fallback. • Build security into the control flow: OAuth2/OIDC, mTLS, RBAC, maker-checker, secrets management. • Integrate REST APIs with OAuth2 bearer flows, retries, idempotency and error mapping. • Own features end-to-end from data model through API to UI, using Git/GitLab and CI pipelines.

Skills

• Years of experience: 8+ Must have: • Strong Python service design: type hints, clean module/package boundaries, separation of concerns. • Async Python (asyncio, async HTTP clients) and FastAPI/Uvicorn with Pydantic. • SOLID principles, object-oriented service design and design patterns in practice. • Test-driven development (TDD). • REST API integration: OAuth2 bearer flows, retries, exponential backoff, idempotency, error mapping. • Concurrency and distributed-systems correctness: sagas, outbox, FSMs, idempotency, eventual consistency. • Full-stack delivery mindset. • Git/GitLab, automated testing and CI pipelines. • MongoDB (or comparable NoSQL): data modelling, pymongo/Motor, transactions/replica sets, CQRS read models. • React + TypeScript SPA: components, state management (TanStack Query / Redux Toolkit), API integration. • Containers & Kubernetes/OpenShift: stateless services, config/secrets, leader election in a CaaS environment. • Schedulers/workers (Celery, APScheduler, Temporal, Airflow) and leader-election/queue patterns.