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Python Developer

  • Source: Recruitops360
  • J2B GLOBAL LLC
  • On-site
  • New York City
  • Mid level

Job Description

Python Developer

NYC, NY

Visa: US CitizenGC-EADH1BH4-EAD

Title: Python Developer Location: Wilmington/New York Duration: Long Term Contract Role Overview We are looking for an experienced Python Software Engineer to design, develop, and maintain scalable, high-performance software solutions. The ideal candidate should have strong hands-on expertise in Python development, backend engineering, API development, cloud technologies, and modern software engineering practices. Key Responsibilities · Design, develop, test, and maintain scalable applications and backend services using Python. · Build robust and reusable components, APIs, microservices, and integrations. · Develop RESTful APIs and integrate with internal and external systems. · Write clean, maintainable, well-tested, and production-ready code. · Troubleshoot complex technical issues and optimize application performance. · Work with databases, data models, caching, and asynchronous processing. · Implement secure coding practices, authentication, authorization, and API security. · Collaborate with Product Managers, Architects, DevOps, QA, and other engineering teams. · Participate in code reviews, technical design discussions, and architecture decisions. · Develop automated unit, integration, and functional tests. · Work with CI/CD pipelines and modern DevOps practices. · Monitor applications in production and support troubleshooting and root-cause analysis. · Contribute to technical documentation and engineering best practices. Required Skills · Advanced proficiency in Python with strong knowledge of Python 3.x. · Strong understanding of object-oriented programming, data structures, algorithms, and design patterns. · Experience with Python frameworks such as FastAPI, Flask, or Django. · Strong experience developing REST APIs and microservices. · Good understanding of SQL and relational databases such as PostgreSQL, MySQL, or Oracle. · Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis is preferred. · Strong knowledge of Git and version-control practices. · Experience with unit testing frameworks such as PyTest or unittest. · Knowledge of asynchronous programming using asyncio and related Python frameworks. · Experience with Docker and containerized application development. · Understanding of CI/CD and DevOps practices. · Strong debugging, problem-solving, and performance-optimization skills. Cloud & Modern Engineering · Experience working with at least one major cloud platform: AWS, Azure, or GCP. · Understanding of cloud-native application development and distributed systems. · Experience with messaging/event-driven technologies such as Kafka, RabbitMQ, or SQS is preferred. · Familiarity with Kubernetes and container orchestration is a plus. · Exposure to observability tools, logging, monitoring, and application performance management. AI / Agentic AI – Preferred · Exposure to Generative AI, LLMs, or AI-enabled applications is preferred. · Experience integrating LLM APIs or AI services into Python applications is a plus. · Familiarity with frameworks such as LangChain, LangGraph, OpenAI SDK, or similar agentic AI frameworks is desirable. · Understanding of API-based integration with AI/ML platforms and model-serving infrastructure is an advantage. Education & Experience · Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field. · Typically 5+ years of software engineering experience, with strong hands-on Python development experience. · Experience working in Agile/Scrum development environments. · Strong communication and collaboration skills. · Ability to independently analyze complex technical problems and deliver scalable solutions. Nice to Have · Experience designing highly scalable distributed systems. · Knowledge of system design and software architecture. · Experience with event-driven and asynchronous architectures. · Experience in financial services, enterprise applications, or other large-scale environments. · Exposure to security, observability, and performance engineering.

Refer

Skills

  • Python
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