Staff Software Engineer – Generative AI, Machine Learning

Extreme Networks

full-time

Posted on: 9/20/2025

Origin: • 🇮🇳 India

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AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKafkaPySparkSDLCSpark

About the role

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

Degree in Computer Science, Mathematics, or a related field
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
MS or PhD in Computer Science, Machine Learning, or a related discipline (preferred)
Experience with Graph ML and graph technologies such as GNNs or Graph RAG (preferred)
Deep expertise with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue (preferred)
Track record of mentoring engineers and influencing cross-team initiatives (preferred)