Extreme Networks is looking to innovate and create next-generation networking experiences by leveraging Generative AI, Machine Learning, Big Data, and Cloud Computing. The company aims to build intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time to fundamentally shift how businesses manage networks.
Requirements
- 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
- 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
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.
Other
- Experience: 8 to 13 Years
- Location: Seattle, Washington/ Toronto, Canada
- Remote
- Degree in Computer Science, Mathematics, or a related field
- Track record of mentoring engineers and influencing cross-team initiatives
