Extreme Networks

Lead design and delivery of scalable ML and Generative AI platforms, set technical vision, and drive innovation across products and teams. | 8+ years experience in full SDLC and ML solution deployment, expertise in Generative AI, cloud distributed systems, and strong problem-solving skills. | Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Senior Software Engineer (GenAI, ML): Experience: 8 to 13 Years Location: Seattle, Washington OR Toronto, Canada Remote Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme. This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, driving innovation from concept to delivery. There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them. Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. Job Responsibilities · Serve as a thought leader and forward thinker, setting the technical vision and driving innovation across products and platforms. Shape long-term strategy by designing and launching strategic ML solutions that deliver company-wide impact. · Own and guide the full software development lifecycle at scale, including architecture, design, testing, deployment, and operations. Lead technical discussions, define best practices, and ensure engineering rigor through design and code reviews. · Architect and deliver high-performance, production-grade ML platforms and frameworks, enabling next-generation real-time ML and Generative AI systems. · Partner with senior engineers, scientists, and cross-functional leaders to accelerate experimentation, validation, and model integration, ensuring solutions are robust, scalable, and aligned with business goals. Requirements · Degree in Computer Science, Mathematics, or a related field · 8+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations · 8+ years of experience architecting and deploying end-to-end ML solutions in production environments · Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale · Strong background in building and operating large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP · Demonstrated ability to solve highly complex and ambiguous problems, setting direction for others Preferred Qualifications · MS or PhD in Computer Science, Machine Learning, or a related discipline · Experience with Graph ML and graph technologies such as GNNs or Graph RAG · Deep expertise with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue · Track record of mentoring engineers and influencing cross-team initiatives Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook. We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

Lead design and delivery of innovative ML and Generative AI solutions for network management platforms, including full SDLC and collaboration with engineers and scientists. | 5+ years in full SDLC and ML production deployment, hands-on Generative AI development, cloud platform experience, and a relevant degree. | Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Senior/Staff Software Engineer (Gen AI, Big Data): Experience : 5 to 12 Years Location : Seattle, WA | Toronto, Canada Remote Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme. This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery. There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them. Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence. Job Responsibilities · Be a thought leader and forward thinker, helping drive innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation · Lead the full software development lifecycle including design, testing, deployment, and operations, guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation · Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks · Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale Requirements · Degree in Computer Science, Mathematics, or a related field · 5+ years of full SDLC experience including design, coding, reviews, testing, deployment, and operations · 5+ years of experience building and deploying end-to-end ML solutions in production · Hands-on experience developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production · Experience with large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP · Strong ability to solve complex and ambiguous problems Preferred Qualifications · MS or PhD in Computer Science, Machine Learning, or a related discipline · Experience with Graph ML and Graph technologies such as GNNs or Graph RAG · Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook. We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.

Lead and coordinate product lifecycle with focus on security and compliance certifications across global markets, collaborating cross-functionally to ensure certification requirements are met and maintained. | Bachelor’s degree or equivalent, 7+ years in product management or lifecycle management with 5+ years in security compliance, experience with multiple certifications, cloud and SaaS knowledge, and strong project management skills. | Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Job Title: Product Lifecycle Manager – Security & Compliance Certifications Location: Remote Department: Product Management / Compliance Reports To: Director of Product Management Position Overview • We are seeking an experienced Product Lifecycle Manager (PLM) to lead and coordinate the full product lifecycle with a strong focus on security and compliance certifications for global markets. This role requires deep expertise in government and industry compliance programs, particularly in cloud, SaaS, and security-oriented product environments. The successful candidate will collaborate cross-functionally with engineering, security, compliance, and business stakeholders to ensure our products meet and maintain certification requirements across multiple regulatory frameworks. • Drive product certification initiatives from planning through execution for multiple compliance frameworks, including: • FedRAMP (Moderate and High) • GovRAMP • ISMAP (Japan) • SOC 2 (Type I & II) • ISO 27001, ISO 27017, ISO 42001 • Common Criteria • FIPS 140-3 • Germany C5 • Knowledge of data networking and wireless fundamentals • Partner with engineering and security teams to design and implement controls that meet certification requirements. • Engage with third-party assessment organizations (3PAOs), auditors, and regulatory bodies. • Coordinate documentation, evidence collection, and audit readiness activities. • Continuous Monitoring Activities • Track and manage certification renewal timelines and ensure continuous compliance. • Evaluate changes in standards and regulations to assess their impact on product compliance. • Support go-to-market teams with certification-related customer requests and RFP responses. Qualifications (Required) • Bachelor’s degree in Information Security, Computer Science, Engineering, or related field (or equivalent experience). • 7+ years of product management or product lifecycle management experience, with at least 5 years focused on security compliance. • Proven track record managing multiple certifications simultaneously across diverse regulatory frameworks. • Strong understanding of cloud infrastructure, SaaS architectures, and security best practices. • Experience working directly with auditors, 3PAOs, and government assessment programs. • Excellent project management, communication, and stakeholder engagement skills. Preferred Qualification • PMP, CISM, CISSP, or similar certification. • Experience with global compliance frameworks beyond those listed. • Familiarity with automated compliance and GRC tools. • Prior experience in a high-security government or regulated industry environment. Extreme Networks, Inc. ( EXTR ) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook. We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.