Lead Python Developer
Lead Python Developer
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Job Description
We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background proven leadership in technical teams and expertise in building scalable resilient and secure applications.
Key Responsibilities:
Lead the design development and deployment of applications using microservice architecture.
Develop and maintain FastAPIbased backend services with high performance and scalability.
Implement best practices in logging monitoring health checks scalability resilience service discovery API gateways and error handling. Ensure code quality security and performance optimization.
Work with containerization technologies like Docker and Kubernetes for application deployment.
Collaborate with crossfunctional teams to define design and ship new features.
Establish and manage CI/CD pipelines for seamless application deployment.
Implement best practices for API design development and security.
Set up and maintain monitoring and logging tools (e.g. Prometheus Grafana).
Ensure adherence to version control systems (e.g. Git) and collaborative workflows.
Qualifications :
Proven experience in leading technical teams and developing applications using microservice architecture.
Strong proficiency in Python and FastAPI.
Deep understanding of Pydantic for data validation in FastAPI.
Experience with containerization (Docker Kubernetes).
Familiarity with CI/CD pipelines and automation tools.
Knowledge of API design and implementation best practices.
Experience working with monitoring and logging tools (e.g. Prometheus Grafana).
Strong understanding of security best practices in microservicesbased applications.
Nice to Have:
Experience with Retriever models including implementation of chunking strategies.
Familiarity with vector databases and their use cases.
Understanding of optimal approaches in querying LLM models via API.
Experience with prompt engineering and different strategies for effective interactions with LLMs.
Exposure to various prompt engineering techniques in different scenarios
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
