Lead Data Engineer

Lead Data Engineer

There has never been a better time to join Extreme, after three acquisitions extending our portfolio and go to market strategy, we have seen enormous opportunity and growth within the regions. Aside from being a Technology Leader in the Gartner Magic Quadrant, we also adamantly promote an internal culture that truly embraces diversity, inclusion and equality in the workplace. Having Diversity and Inclusion as part of our core values and beliefs, we’re proud to foster an environment where every Extreme employee can thrive because of their differences, not despite them.

Job Description

We are looking for a Data Engineer to join our cross functional global team who are on a mission to create an intelligent automated network management system. To complete the first phase, the team is currently looking for a Data Engineer to operationalize and integrate already developed Anomaly Detection into our industry leading ExtremeCloud IQ Network Management SAAS application. You will work within the team to operationalize the various analytical and ML anomaly detection models for production in ExtremeCloud IQ. To achieve this operationalization, you will need to work closely with the Cloud Operations and Application teams to integrate our solutions into the product.

• 
  Design, build and manage data infrastructure.
• Design and develop enterprise grade pipelines to operate cloud agnostically.
• Needs to be a strong communicator and relationship builder to work closely with the various internal teams to integrate solutions into the current product production environment.
• Improve our data engineering capabilities and capacity by keeping constantly aware of rapidly evolving data engineering best practices.

Desired

• 
  Minimum 5+ years’ experience in similar role
• Must have operationalized big data analytical & ML solutions in production.
• Bachelor’s degree in Computer Science or equivalent technical domain.
• AWS, Azure or GCP certifications related to data management and engineering preferred.
• Can demonstrate having built and maintained excellent working relationships with co-workers and interfacing teams in a previous role.
• Experience with MLOps tooling and techniques, in particular Kubeflow, a 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, 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.