Senior Engineering Manager - Big Data, Generative AI

Extreme Networks

full-time

Posted on: 9/20/2025

Origin: • 🇮🇳 India

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Senior

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKafkaKubernetesMicroservicesSDLCSpark

About the role

Help define product vision, user journey, and technical roadmap for next-gen networking experiences
Provide technical leadership and vision, driving innovation in distributed systems, large-scale data pipelines, and ML solutions
Lead the full software development lifecycle, including design, architecture, testing, deployment, and operations
Architect and deliver high-performance, scalable microservices and real-time inferencing systems using modern ML infrastructure
Mentor and grow engineering talent, establish technical direction, and foster a culture of excellence and collaboration
Champion engineering rigor, operational excellence, and process improvements to deliver resilient, scalable systems
Drive innovation from concept to delivery and collaborate across acquisitions and product teams to integrate AI Core capabilities

Degree in Computer Science, Mathematics, or a related discipline
8+ years of experience across the full SDLC including design, coding, reviews, testing, deployment, and operations
4+ years of experience managing engineering teams with a proven track record of delivery
4+ years of experience building distributed Big Data solutions such as Spark, Kafka, Debezium, Hudi, Flink, or Glue
4+ years of experience designing and architecting large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP
Proven ability to optimize Big Data workflows and improve system performance at scale
Proficiency with Docker, Kubernetes, and modern CI/CD practices
Experience serving as a mentor, tech lead, or people manager in engineering organizations
MS or PhD in Computer Science or a related field (preferred)
Experience with Graph ML and Graph technologies such as GNNs (preferred)
Experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning (preferred)