
AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10362
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 production operations across the software development lifecycle.
- Build scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems.
- Design high-performance systems that process high-volume, high-velocity real-time data with stringent scalability, availability, latency, and reliability requirements.
- Mentor engineers, lead technical discussions, establish technical direction, and foster engineering excellence.
- Improve architecture, system performance, security, observability, resilience, 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 software development lifecycle experience covering architecture, design, coding, reviews, testing, builds, deployment, and production operations.
- At least 7 years of programming experience in 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 mentoring engineers, serving as a technical lead, or leading an engineering team.
- Ability to solve complex and ambiguous technical problems and turn them into pragmatic production-ready solutions.
- Preferred: Master’s or PhD in a related technical discipline or equivalent practical experience.
- Preferred: experience with scalable event-driven microservices, real-time operational or network data, generative AI and agentic systems, networking and observability platforms, and distributed data technologies such as Kafka, Spark, Flink, PySpark, or MapReduce.
Benefits
- Location options include Bangalore, Chennai, or remote work.
- Opportunity to work on intelligent networking, cloud-native platforms, real-time distributed systems, and agentic AI.
- Inclusive workplace committed to diversity and preventing discrimination and harassment.
Tech Stack
Categories
BackendData Engineering
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.