Staff Software Engineer - Big Data & Generative AI - Remote

Posted 2 days ago

Software Development

Full Time

Worldwide

Overview

Join Extreme as a Staff Software Engineer focusing on Big Data and Generative AI, where you will innovate and create impactful solutions in the realm of AI-driven network management.

In Short

Lead design and development of distributed systems and data pipelines.
Drive innovation in Big Data and Generative AI.
Own end-to-end delivery of key features and services.
Build scalable real-time analytic systems.
Mentor junior and mid-level engineers.
Collaborate across teams for resilient, secure solutions.
Work with cloud platforms like AWS, Azure, and GCP.
Experience with Graph technologies and ML infrastructure.
8+ years of software development experience required.
Join a diverse and inclusive workplace.

Requirements

Degree in Computer Science, Mathematics, or related field.
8+ years of experience in software development lifecycle.
5+ years with distributed Big Data systems (e.g., PySpark, Kafka).
Experience with sensitive data pipelines and compliance.
Proven track record of delivering high-impact software.
Strong problem-solving skills.
Experience deploying solutions on cloud platforms.

Benefits

Work in a leading global networking company.
Innovative projects in AI and Big Data.
Inclusive workplace culture.
Opportunities for professional growth.
Competitive salary and benefits.

Extremenetworks

Extreme Networks is a global leader in cloud-driven networking solutions, trusted by over 50,000 customers worldwide to accelerate their digital transformation efforts. With a commitment to strong core values, including diversity and inclusion, Extreme fosters an environment where employees can thrive. The company leverages advanced technologies such as machine learning, artificial intelligence, and automation to create seamless networking experiences. Recognized as one of the best places to work in IT, Extreme Networks is dedicated to delivering top-rated services and support while driving continuous growth and innovation across its global operations.

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