Senior Python Developer (FastAPI)
New
P
ProxifySoftware Development
EMEA, CET +/- 3 hours, CET (+/- 3 hours)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years of total software engineering experience
- Required Skills
- DockerPostgreSQLPythonKubernetesRabbitmqFastAPIRedisCI/CD
Requirements
- 3+ years of dedicated, hands-on production experience building high-performance asynchronous web services with FastAPI and modern Python (3.10+).
- Deep mastery of Python's asyncio ecosystem, dependency injection, and Pydantic v2 data validation.
- 5+ years of total software engineering experience designing, deploying, and maintaining production-grade distributed systems and RESTful APIs.
- Solid proficiency with relational databases (PostgreSQL), writing optimized raw SQL or leveraging ORMs like SQLAlchemy and Alembic.
- Caching layer experience with Redis.
- Practical experience building decoupled services using message queues and event streaming platforms (e.g., RabbitMQ, Celery, or Apache Kafka).
- Strong daily proficiency with Docker, Kubernetes or AWS container services (ECS/EKS).
- Experience setting up CI/CD deployment pipelines (GitHub Actions, GitLab CI).
- Strict adherence to software design patterns, clean code principles, and comprehensive automated testing using pytest.
- Located in the CET timezone (+/- 3 hours).
Responsibilities
- Design, build, and document secure, high-concurrency microservices and RESTful endpoints using FastAPI and OpenAPI/Swagger standards.
- Profile asynchronous bottlenecks, manage event loops, optimize database queries, and scale caching layers to maintain sub-millisecond response times under peak load.
- Build robust communication channels between internal services and external partner APIs using webhooks, message brokers, and background workers (e.g., Celery).
- Lead technical design discussions, establish testing benchmarks, and conduct thorough peer code reviews to ensure system reliability and security compliance.
- Collaborate closely with DevOps teams to containerize applications, monitor cloud health metrics, and streamline automated release cycles.
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