AI Principal SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems -10359
Extreme Networks2 months ago
Chennai, India or Bengaluru, IndiaStaff+
Responsibilities
- Define and drive technical vision for intelligent networking, distributed systems, real-time processing, agentic AI, and machine learning capabilities.
- Lead the full software development lifecycle from architecture and implementation through testing, deployment, and production operations.
- Design and build scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems.
- Lead technical discussions and participate hands-on in design reviews, code reviews, and implementation.
- Mentor engineers, establish technical direction, and foster engineering excellence.
- Improve system architecture, 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.
- 10+ years of complete software development lifecycle experience, including architecture, design, coding, testing, deployment, and production operations.
- 10+ years of programming experience with at least one general-purpose language, preferably Python, Java, Go, or C++.
- 3+ years 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 pragmatic production solutions.
- Preferred: Master’s or PhD in a related technical discipline, or equivalent practical experience.
- Preferred: Experience with scalable event-driven microservices, generative AI or agentic systems, networking and observability platforms, large-scale datasets, and distributed processing technologies such as Kafka, Spark, Flink, PySpark, or MapReduce.
Benefits
- Work arrangement is Bangalore-based or remote.
- Opportunity to work on intelligent networking, generative AI, autonomous agentic systems, and cloud-native distributed platforms.
- 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.