Software Engineer, SW Systems

Summary

Join Extreme Networks as we advance with innovative solutions and technologies, fostering an environment where every employee can thrive due to their differences.

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.)
• Experience as a mentor, tech lead or leading an engineering team
• 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
• 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
• 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