Senior Backend Developer (GenAI Solutions) - 9289

Job Description

Senior Backend Developer (GenAI Solutions)

We are seeking an experienced Senior Backend Developer with 7+ years of expertise in Java, Python, and microservices architecture (both synchronous and asynchronous) to join our high-performing agile team. This role focuses on developing robust backend systems for GenAI applications, handling complex data flows and optimizing performance at scale.



  • 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.