Extreme Networks is hiring a
Sr SW Systems Engineer
Extreme Networks
π΅ ~$109k-$136k
πRemote - India
Please let Extreme Networks know you found this job on JobsCollider. Thanks! π
Summary
The job is for a data mining and machine learning professional at Extreme Networks, a global leader in networking solutions. The role involves driving innovation, leading the end-to-end software development lifecycle, and working on ground-breaking products that define the future of AI-driven network management. The position is remote within India and requires 4 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 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
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