Senior Backend Developer (GenAI Solutions)
Ireland
Applications have closed
Extreme Networks
We provide networking solutions to power your business. Our flexible and scalable cloud networking services help optimize your network infrastructure.Key Responsibilities:
- 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.
Qualifications
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs Architecture AWS Azure Big Data CI/CD Distributed Systems Docker FastAPI GCP Generative AI Google Cloud Java Kafka Kubernetes Machine Learning Microservices ML models NoSQL Python RabbitMQ Security SQL Testing
Perks/benefits: Career development
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