AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10363
Extreme Networks2 months ago
Chennai, India or Bengaluru, IndiaStaff+
Responsibilities
- Define and drive technical vision for intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning capabilities.
- Lead architecture, design, implementation, testing, deployment, and operations across the software development lifecycle.
- Design and build scalable data pipelines, distributed microservices, real-time data and AI platforms, agentic solutions, and networking integrations.
- Lead technical discussions and participate hands-on in design reviews, code reviews, and implementation.
- Mentor and develop engineers, establish technical direction, and foster engineering excellence.
- Build resilient, secure, observable, scalable, and operationally reliable systems while improving architecture, performance, processes, and operational readiness.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
- At least 7 years of experience across the complete software development lifecycle.
- At least 7 years of programming experience with a general-purpose language, preferably Python, Java, Go, or C++.
- At least 3 years of experience leading the design and architecture of large-scale distributed systems, preferably on AWS, Azure, or Google Cloud.
- Experience with real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics.
- Experience designing high-volume, high-velocity data systems with stringent scalability, availability, latency, and reliability requirements.
- Experience mentoring engineers, serving as a technical lead, or leading an engineering team.
- Ability to solve complex and ambiguous technical problems and turn them into production-ready solutions.
- Preferred: Master’s or PhD in a relevant technical discipline, or equivalent practical experience.
- Preferred: Experience with event-driven microservices, real-time operational or network data, generative AI or agentic systems, networking and observability systems, and large-scale production datasets.
- Preferred: Experience with Kafka, Spark, Flink, PySpark, MapReduce, or comparable distributed data technologies.
Benefits
- Work location options include Bangalore, Chennai, or remote.
- Opportunity to work on intelligent networking, agentic AI, cloud-native platforms, and real-time distributed systems.
- Inclusive workplace culture committed to diversity and preventing discrimination and harassment.
Tech Stack
Categories
About Extreme Networks
Extreme Networks builds enterprise networking infrastructure—switches, routers, Wi‑Fi access points—and cloud-based management and analytics software used to deploy and secure wired and wireless networks. It sells hardware, software subscriptions, and support services to businesses, schools, hospitals, and governments. Founded in 1996 and headquartered in Morrisville, North Carolina, the company is publicly traded on NASDAQ (EXTR) and offers products in areas such as switching, wireless, security, and network management.