Extreme Networks is hiring a
Staff SW Systems Engineer

Summary

The job is for a Senior Software Engineer focusing on data mining, machine learning, anomaly detection, and natural language processing at Extreme Networks. The role involves driving innovation in various products and platforms, leading the end-to-end software development lifecycle, and mentoring other engineers. The position is remote within India and requires 8 to 10 years of experience.

Requirements

• Degree in mathematics/computer science or related discipline
• 4+ 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 programming, with proficiency in at least one programming language, preferably Python or Java
• 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 working with distributed and big data technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, NoSQL, etc.)
• Adept at tackling highly complex, ambiguous or undefined problems

Responsibilities

• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic data mining 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
• Transform vast amounts of raw data into actionable insights by developing scalable, efficient, and automated processes and tools for large-scale data analyses, metadata discovery, data integrity and accuracy
• Design and develop large-scale knowledge graphs through semantically linking information and datasets from across multiple product and technical domains

Preferred Qualifications

• MS or PhD in Computer Science or equivalent experience
• Experience dealing with real world large-scale datasets
• Strong understanding and passion for statistical/mathematical modelling and data analysis
• Prior experience working with graph data, and graph databases