Extreme Networks is hiring a
Sr Software Systems Engineer-Backend, Remote - India

Summary

The Senior Software Systems Engineer-Backend role involves driving innovation for various products, leading end-to-end software development, crafting high-performance microservices architectures, developing real-time online inferencing, mentoring engineers, and upholding technical rigor. The candidate should have a degree in mathematics/computer science or related discipline, 5+ years of experience in the complete software development lifecycle, 5+ years of Python experience, expertise in designing RESTful APIs, proficiency in Docker, Kubernetes, and modern CI/CD practices, and 3+ years of experience in leading the design and architecture of large distributed systems. Preferred qualifications include an MS or PhD in Computer Science, experience with ML technologies, experience with NoSQL databases, and proven ability to handle big data and optimize workflows.

Requirements

• Degree in mathematics/computer science or related discipline
• 5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations
• 5+ years of experience in Python with an in-depth knowledge of its advanced features and libraries
• Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI
• Proficient in Docker, Kubernetes, and modern CI/CD practices
• 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud)
• Experience as a mentor, tech lead or leading an engineering team

Responsibilities

• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation
• Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation
• Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services
• Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing
• Mentor and develop other engineers on the team, establish technical direction and foster team culture

Preferred Qualifications

• MS or PhD in Computer Science or equivalent experience in ML
• Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.)
• Experience with NoSQL and document databases
• Proven ability to handle big data, optimize workflows, and improve system performance