AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10361
Extreme Networks, Inc. (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 30–45 LPA
Posted on 2 Sept
Reach people at Extreme Networks, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Extreme Networks, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design and development of scalable, secure, real-time distributed systems and microservices for AI-driven networking platforms.
- Own end-to-end software lifecycle including architecture, implementation, testing, deployment, and operations for core AI infrastructure and agentic systems.
- Drive technical vision and mentorship across teams, fostering innovation and operational excellence in AI, distributed data processing, and network telemetry solutions.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics or related field, or equivalent experience.
- 7+ years of software development experience including architecture and operations; 3+ years leading large-scale distributed system design, preferably on cloud (AWS, Azure, GCP).
- Proficiency in at least one programming language: Python, Java, Go, or C++.
- Experience with real-time microservices, distributed data platforms, AI/agentic systems, network telemetry, or large-scale analytics.
Ideal Candidate Profile
- Experienced technical leader capable of defining and driving innovative architecture and strategy in AI and distributed networking domains.
- Strong background in building production-grade, scalable AI infrastructure and real-time data processing platforms on cloud.
- Demonstrates deep understanding of agentic AI systems, microservices, and network telemetry with ability to mentor and lead engineering teams.