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Job Overview
Location
Bangalore, India
Job Type
Full-time
Category
Software Engineering
Date Posted
September 21, 2025
Full Job Description
đź“‹ Description
- • Own the end-to-end architecture of Extreme’s next-generation Generative-AI platform, translating ambitious product visions into scalable, production-grade systems that serve 50,000+ global customers.
- • Design and implement high-performance, real-time ML pipelines that ingest terabytes of network telemetry, security logs, and user-behavior data, turning raw streams into actionable insights through RAG, AI Agents, and fine-tuned LLMs.
- • Be the technical anchor for a green-field initiative: define coding standards, choose cloud-native stacks (AWS, Azure, or GCP), and establish CI/CD, monitoring, and model-drift detection practices that become the blueprint for future AI teams.
- • Lead cross-functional squads of data scientists, backend engineers, and product managers in weekly design sprints, story mapping, and OKR reviews—balancing rapid experimentation with enterprise-grade reliability and security.
- • Build and extend open-source ML libraries and distributed frameworks (Spark, Flink, PySpark, Kafka, Lakehouse, Druid, Hudi, Glue) to create a unified data fabric that supports both batch and low-latency streaming use cases.
- • Develop AI Agents capable of autonomous network remediation, anomaly detection, and predictive capacity planning; measure success through KPIs such as MTTR reduction, cost savings, and customer NPS uplift.
- • Champion MLOps best practices: automated model retraining, A/B experimentation, feature stores, and governance workflows that satisfy SOC-2, ISO-27001, and GDPR requirements.
- • Collaborate with Graph ML specialists to leverage GNNs and Graph-RAG for topology-aware insights, enabling customers to visualize and optimize complex network relationships in real time.
- • Present technical roadmaps and quarterly demos to executive leadership, customers, and the open-source community; publish white-papers and speak at conferences to position Extreme as a thought leader in AI-driven networking.
- • Mentor junior engineers through pair programming, architecture reviews, and career development plans; foster an inclusive culture where diverse perspectives accelerate innovation.
- • Continuously scan the horizon for emerging Gen-AI research (multi-modal LLMs, reinforcement learning from human feedback, retrieval-augmented planning) and rapidly prototype ideas that can be productized within 6–12 months.
- • Contribute to patent filings and IP strategy, ensuring that breakthrough algorithms are protected while still encouraging open collaboration and reproducible science.
🎯 Requirements
- • Bachelor’s degree in Computer Science, Mathematics, or related field plus 5+ years of full SDLC experience spanning design, coding, reviews, testing, deployment, and operations
- • 5+ years building and deploying end-to-end ML solutions in production environments, with demonstrable impact on business metrics
- • Hands-on expertise developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) that have shipped to real users at scale
- • Proven experience with large-scale distributed systems on AWS, Azure, or GCP, including containerization, orchestration, and auto-scaling
- • Strong ability to solve complex, ambiguous problems and communicate solutions clearly to both technical and non-technical stakeholders
🏖️ Benefits
- • Fully remote-first culture with flexible hours and quarterly in-person innovation summits in Bangalore or Chennai
- • Annual learning stipend of USD 3,000 for conferences, courses, and certifications in AI/ML and cloud technologies
- • Comprehensive health coverage for employee and dependents, plus mental-wellness and Employee Assistance Programs
- • Stock purchase plan and performance bonus tied to company growth, recognizing your direct contribution to Extreme’s double-digit YoY expansion
Skills & Technologies
About Extreme Networks, Inc.
Extreme Networks is a publicly traded networking technology company headquartered in Morrisville, North Carolina. It designs, develops and manufactures wired and wireless network infrastructure equipment, software and services for enterprises, data centers, service providers and government organizations. Its portfolio includes cloud-managed switches, access points, routers, analytics and security solutions that enable secure, scalable connectivity and application performance. Founded in 1996, Extreme serves education, healthcare, manufacturing, retail and hospitality markets worldwide through direct sales and channel partners.
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