Staff Software Engineer

Summary

Join Extreme Networks, a global networking leader experiencing double-digit growth, as a Staff Software Engineer specializing in Big Data and Generative AI. This remote US-based position requires 8-13 years of experience. You will lead the development of innovative machine learning solutions, design high-performance Big Data architectures, and mentor other engineers. The role demands expertise in Spark/PySpark, Data Lakehouse solutions, and large distributed systems. Extreme Networks values inclusion and offers a collaborative environment.

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
• 4+ years of experience in Spark/PySpark with an in-depth knowledge of its advanced features and libraries
• 3+ years of experience in Data Lakehouse solution such as Hudi/Iceberg/Delta with an in-depth knowledge of its advanced features and libraries
• 2+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud)
• Proficient in Docker, Kubernetes, and modern CI/CD practices

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, Big Data Lakehouse architectures such as Hudi, Delta or Iceberg
• Develop Big Data Platform to solve big data pipeline and processing
• Mentor and develop other engineers on the team, establish technical direction and foster team culture
• Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements

Preferred Qualifications

• MS or PhD in Computer Science or equivalent experience in ML
• Experience working with Big Data Infra such as AWS EMR
• Experience with NoSQL and document databases
• Proven ability to handle big data, optimize workflows, and improve system performance