Staff Software Engineer – Big Data, Generative AI

Extreme Networks

full-time

Posted on: 9/20/2025

Origin: • 🇮🇳 India

✨ AI Apply

Lead

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKafkaPySparkSDLCSpark

About the role

Lead the design and development of distributed systems, data pipelines, and ML infrastructure with a focus on scalability and reliability
Own end-to-end delivery of key features and services across the full SDLC: design, implementation, testing, deployment, and operations
Drive innovation in Big Data, Generative AI, and Graph ML by translating emerging technologies into production-ready systems
Build and optimize scalable, real-time analytic systems powering AI Agents
Mentor junior and mid-level engineers, provide technical guidance, and promote engineering best practices
Collaborate across teams to ensure solutions are resilient, secure, and high-performing

Degree in Computer Science, Mathematics, or a related field
8+ years of experience across the full software development lifecycle (design, coding, reviews, testing, deployment, operations)
5+ years of experience with distributed Big Data systems (e.g., PySpark, Lakehouse, Kafka, Debezium, Hudi, Druid, Flink, Spark Streaming)
Experience with sensitive or streaming data pipelines, including governance and compliance requirements
Experience with Graph technologies (e.g., GNNs)
Proven track record of delivering complex, high-impact software systems in production
Experience deploying large-scale solutions on cloud platforms (AWS, Azure, GCP)
Strong problem-solving skills and ability to excel in ambiguous environments
(Preferred) MS in Computer Science, Machine Learning, or a related discipline
(Preferred) Hands-on experience building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production