ZipRecruiter

Log In

Extreme Networks

35 Extreme Networks Operations Analyst Jobs Hiring Near You

Extreme Networks

Extreme Networks offers award-winning customer support and has achieved one of the highest Net ... The current team across sales, channels, presales, operations and supports is a small but focused ...

Extreme Networks

PROGRAM MANAGER -10291

San Jose, CA · On-site

About the Role Extreme Networks is a leader in cloud-driven networking, delivering secure ... analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven ...

Extreme Networks

Oracle Programmer Analyst

Carolina, RI · Remote

... operational efficiency and drive business growth. Responsibilities: * Develop and test custom ... Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to ...

previous page

Showing results 21-35

All JobsExtreme Networks JobsExtreme Networks Operations Analyst Jobs

Extreme Networks Jobs Information

What are the key skills and qualifications needed to thrive as an Operations Analyst, and why are they important?

To thrive as an Operations Analyst, you need strong analytical abilities, data interpretation skills, and a relevant degree such as in business, finance, or mathematics. Proficiency with Excel, SQL, and analytics platforms like Tableau or Power BI is often required, along with knowledge of process improvement methodologies. Attention to detail, problem-solving, and effective communication are crucial soft skills in this role. These competencies enable Operations Analysts to optimize processes, support data-driven decisions, and drive organizational efficiency.

How does an Operations Analyst typically collaborate with other departments to improve business processes?

Operations Analysts frequently work cross-functionally, partnering with teams such as finance, IT, and logistics to identify inefficiencies and recommend solutions. This often involves gathering data from stakeholders, mapping out workflow processes, and facilitating meetings to discuss potential improvements. Strong communication skills are essential, as Operations Analysts must clearly present their findings and gain buy-in from diverse teams. Through this collaboration, they play a key role in driving continuous improvement and operational efficiency across the organization.

What does an Operations Analyst do?

An Operations Analyst is responsible for analyzing and improving organizational processes to increase efficiency and effectiveness. They collect and interpret data, identify trends, and recommend solutions to operational challenges. Operations Analysts often collaborate with different departments to streamline workflows, reduce costs, and support strategic decision-making. Their work helps companies optimize performance and achieve business objectives.
What other companies are hiring for Operations Analyst jobs?
What are the most popular jobs at Extreme Networks?
What are the most popular categories at Extreme Networks?
Infographic showing various Operations Analyst 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

New Hampshire, OH

Full-time

Posted 3 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.