- Design & Implement Backend Solutions: Build and optimize backend systems for GenAI applications using cutting-edge cloud-native technologies.
- API Development & Optimization: Develop scalable, efficient, and real-time backend services and APIs for ExtremeCloud applications.
- Distributed Systems: Design and implement high-performance distributed systems with Python and FastAPI. Collaborate with ML Teams: Work closely with ML Scientists and ML Engineers to integrate machine learning models into production-ready, scalable systems.
- Workflow Management: Manage workflows using DAGs and optimize asynchronous task queues for seamless operations.
- Automated Testing: Lead the development and execution of automated tests to ensure system reliability and high-quality standards.
- Containerization & CI/CD: Use Docker and Kubernetes for seamless service management, deployment, and continuous integration.
- Performance Optimization: Conduct performance benchmarking, design reviews, and fine-tune system architecture for optimal performance.
- Security Best Practices: Implement and maintain security protocols for backend services.
- Mentorship & Leadership: Mentor junior developers and foster a culture of continuous improvement and technical excellence.
- Communication & Documentation: Document processes, track progress, and effectively communicate with both technical and non-technical stakeholders.
- 7+ years of experience in Java and Python, with deep expertise in advanced features and libraries.
- Expert-level knowledge of FastAPI, OpenAPI, and gRPC.
- Extensive experience with SQL and NoSQL databases.
- Proven track record in designing and implementing both synchronous and asynchronous microservices and distributed systems.
- Hands-on experience in building resilient, scalable distributed systems.
- Strong ability to handle big data and optimize workflows for performance.
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
- Experience with distributed computing technologies like Kafka, Redis, and RabbitMQ.
- Proficiency in Docker, Kubernetes, and modern CI/CD practices.
- Experience with load testing tools and performance tuning techniques.

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