Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT!
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 and with double digit growth year over year, no provider is better positioned to deliver better outcomes on scale, than Extreme.
We believe in “walking the walk” of our strong core values which enable us to successfully advance together. Diversity and Inclusion is a vital part of our values and beliefs, and we’re proud to foster an environment where every Extreme employee can thrive.
Come become part of something big with us! We are a global leader, with hubs in North America, South America, Asia Pacific, Europe, and the Middle East.
Join our team working on dashboards based on data for the sports & entertainment history! Extreme Networks provides the network infrastructure and our team.
As a Staff ML Engineer, you will help develop Extreme Networks’ key initiatives in Venue Insights. This is an opportunity to extend your knowledge in Kubernetes and Docker containers, parallel processing using Dask, streaming data and most importantly, ownership of a complex project.
Job Responsibilities:
· Setting up junior teammates for success.
· Helping junior ML engineers in the team improve their coding practices and patterns.
· Contribution to product design, feature implementation, testing and debugging issues.
· Supporting fellow developers by writing clean code and reviewing colleagues’ code.
· Collaborating with developers and other departments.
Qualifications/Skills:
· Strong technical background in software development
· Strong technical background in Bayesian Networks
· You have at least 7 years of experience in software development, with specialization in data engineering and visualization
· Commitment to best practices in software development, including unit tests and design practices
· Strong understanding of data engineering
· Strong understanding of big data parallel processing, particularly Dask.
· Strong knowledge of Python
· Strong knowledge of at least one compiled language, preferably Go
· Strong knowledge of Bash-like scripting languages
· Expert understanding of Linux operating system
· Expert knowledge of networking technology and processes
· Hands-on experience with GIT and GitHub
· Expert knowledge with Docker and Kubernetes is a plus
· Bachelor’s degree preferably in the fields of computer science, engineering, or mathematics
· Knowledge of networking technologies and concepts, LAN switching, routing, Ethernet and IP
Location:
This position is in Toronto, Ontario (Thornhill) with possibility of remote work. FlexFirst is our company's commitment to allowing our employees the flexibility to work remotely and balance that with the ability to utilize office space for collaboration, meetings, etc.
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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.