Extreme Networks

41 Extreme Networks Network Security Engineer Jobs Hiring Near You

... Bonus 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 ...

Network -Management and Security solutions, growing revenue and profit margins within the assigned ... About Extreme Networks Extreme Networks, Inc. (NASDAQ: EXTR) creates effortless networking ...

... networking technology solutions and platforms. Extreme Networks offers award-winning customer ... Lead a team of Account Managers and Systems Engineering counterparts to drive and support Extreme ...

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Extreme Networks Jobs Information

What are the key skills and qualifications needed to thrive as a Network Security Engineer, and why are they important?

To thrive as a Network Security Engineer, you need a solid understanding of networking protocols, firewall management, vulnerability assessment, and typically a bachelor's degree in computer science or a related field. Familiarity with security tools like IDS/IPS, SIEM systems, and certifications such as CISSP or CompTIA Security+ are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help distinguish top professionals in this role. These skills are crucial for safeguarding organizational data, identifying security threats, and ensuring robust network protection.

What are some common challenges faced by Network Security Engineers in maintaining secure and efficient networks?

Network Security Engineers often encounter challenges such as staying ahead of rapidly evolving cyber threats, ensuring minimal downtime during security upgrades, and balancing strong security measures with network performance. Additionally, they must work closely with IT teams and end-users to implement security policies without disrupting daily operations. Keeping up with compliance standards and effectively communicating risks and solutions to non-technical stakeholders are also important aspects of the role.

What are Network Security Engineers?

Network Security Engineers are IT professionals responsible for protecting an organization's computer networks from security threats and unauthorized access. They design, implement, and maintain security measures such as firewalls, intrusion detection systems, and encryption protocols. Their role involves monitoring network traffic, responding to security incidents, and ensuring compliance with security policies and regulations. Network Security Engineers also conduct regular vulnerability assessments and work to keep systems up to date against evolving cyber threats.

What is the difference between Network Security Engineer vs Security Analyst?

AspectNetwork Security EngineerSecurity Analyst
CertificationsCCNA, CISSP, CompTIA Security+CISSP, GIAC Security Essentials, CompTIA Security+
Work EnvironmentDesigning, implementing, and maintaining security infrastructureMonitoring, analyzing, and responding to security incidents
Employer & Industry UsageIT departments, cybersecurity firms, large enterprisesCorporate security teams, government agencies, financial institutions

While both roles focus on cybersecurity, Network Security Engineers primarily design and implement security systems, whereas Security Analysts monitor and respond to security threats. They often work together to ensure comprehensive protection of organizational networks.

What are the most popular categories at Extreme Networks?
Infographic showing various Network Security Engineer job openings at Extreme Networks in the United States as of May 2026, with employment types broken down into 3% Internship, and 97% Full Time. Highlights an 55% Physical, 11% Hybrid, and 34% Remote job distribution.

AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030)

Extreme Networks

San Jose, CA

Full-time

Posted 2 days ago


Job description

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.

Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data
Experience : 5 to 14 Years
Hybrid/Remote
 
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. 
About the position
  • Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) 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.
  • Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.
  • Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.
  • 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.
Basic Qualifications:
  • Degree in mathematics/computer science or related discipline.
  • 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries.
  • Expertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.
  • Proficient in Docker, Kubernetes, and modern CI/CD practices.
  • 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 as a mentor, tech lead or leading an engineering team.
Preferred Qualifications:
  • MS or PhD in Computer Science or equivalent experience in ML.
  • Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.
  • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
 
  • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.
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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.