AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10354
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, agentic solutions, and integrations with networking systems.
- Participate hands-on in design reviews, code reviews, implementation, technical discussions, and strategy development.
- Mentor and develop engineers, establish technical direction, and foster engineering excellence.
- Improve system architecture, engineering processes, performance, resilience, security, observability, and operational readiness.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
- 7+ years of software development lifecycle experience, including architecture, design, coding, reviews, testing, build processes, deployment, and production operations.
- 7+ years of programming experience with at least one general-purpose language, preferably Python, Java, Go, or C++.
- 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 demanding scalability, availability, latency, and reliability requirements.
- Experience mentoring engineers, serving as a technical lead, or leading an engineering team.
- Ability to solve complex, ambiguous technical problems and deliver pragmatic production-ready solutions.
- Preferred: Master’s or PhD in a related technical discipline, or equivalent practical experience.
- Preferred: Experience with generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment.
- Preferred: Experience with networking, network management, observability, telemetry, cloud infrastructure, distributed control-plane systems, and large-scale real-world datasets.
- Preferred: Experience with Kafka, Spark, Flink, PySpark, MapReduce, or comparable distributed data technologies.
Benefits
- Location options include Bangalore, Chennai, or remote.
- Opportunity to work on intelligent networking, generative AI, agentic automation, cloud-native platforms, and real-time distributed systems.
- Inclusive workplace 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.