Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer with 10+ years of experience, offering a hybrid position in Parsippany, NJ. Key skills include Python, microservices, RESTful API design, SQL, Docker, and cloud deployment. Contract length is unspecified; pay is W2 only.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 27, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Parsippany, NJ
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🧠 - Skills detailed
#FastAPI #Splunk #Microservices #Cloud #Security #NoSQL #GIT #Grafana #Django #Kafka (Apache Kafka) #GitLab #AWS (Amazon Web Services) #Dynatrace #OpenSearch #SQL (Structured Query Language) #Docker #Prometheus #REST (Representational State Transfer) #Jenkins #Monitoring #Data Modeling #Flask #GitHub #Azure #Kubernetes #Python #Redis #Programming #GCP (Google Cloud Platform) #Integration Testing #API (Application Programming Interface) #Pytest #GraphQL
Role description
Job Title: Backend Python/Microservices Developer Experience: 10+ Location: Parsippany, NJ -- HYBRID NOTE - ONLY W2 Job Description : Position Summary: β€’ 5+ years hands-on Python (typing, packaging, Class&Objects) β€’ Microservices architecture and RESTful API design & implementation (FastAPI, Flask, or Django REST) β€’ API versioning, rate limiting, pagination, and error handling β€’ Async programming (asyncio, aiohttp,multiprocessing) and concurrency patterns β€’ Unit/integration testing (pytest), TDD practices β€’ SQL (Postgres) and basic NoSQL (Redis) usage and data modeling β€’ Docker (containerization) and CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins) β€’ Git workflows, code review, and branching strategies β€’ Message brokers (RabbitMQ, Kafka) or pub/sub alternatives β€’ Performance tuning, profiling, and capacity considerations β€’ Authentication/authorization (OAuth2, JWT), common security best practices β€’ Experience deploying to cloud (AWS / GCP / Azure) β€’ Container orchestration basics (Kubernetes) or managed alternatives β€’ Monitoring & alerting (Prometheus, Grafana, Splunk, Dynatrace) Nice to Have: β€’ GraphQL, async frameworks (Starlette/FastAPI), Celery or task queues β€’ Distributed tracing, event-sourcing/CQRS patterns β€’ Caching & NoSQL (Redis, opensearchknowledge)