AI Principal SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems
Extreme Networks2 months ago
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 microservices, data pipelines, distributed data platforms, agentic solutions, and networking-system integrations.
- Participate hands-on in design reviews, code reviews, technical discussions, and implementation.
- Mentor and develop engineers, establish technical direction, and foster engineering excellence.
- Build resilient, secure, observable, high-performance systems and improve architecture, processes, performance, and operational readiness.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
- At least 10 years of complete software development lifecycle experience and at least 10 years of programming experience.
- Proficiency in at least one general-purpose programming 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 systems for high-volume, high-velocity data 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 convert them into production-ready solutions.
- Master’s or PhD preferred in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience.
- Preferred experience includes scalable event-driven microservices, real-time network data processing, generative AI and agentic systems, networking and observability platforms, and distributed processing technologies.
Benefits
- Location is Bangalore or remote.
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.