AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10360
Extreme Networks, Inc. (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 30–50 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, and production-ready distributed systems and AI infrastructure for real-time network data processing and intelligent agentic systems.
- Drive end-to-end software lifecycle including architecture, coding, testing, deployment, and operations across cloud platforms.
- Mentor engineering teams and define technical vision for innovative AI-powered networking and automation platforms.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline, or equivalent practical experience.
- 7+ years of programming and software development lifecycle experience including architecture and deployment.
- 3+ years experience designing large-scale distributed systems on cloud platforms (AWS, Azure, or Google Cloud).
- Experience with real-time microservices, stream processing, AI/agentic systems, network telemetry, or large-scale analytics.
Ideal Candidate Profile
- Proven technical leader who can translate complex problems into pragmatic, production-ready AI and distributed system solutions.
- Experienced in building event-driven microservices and processing large-scale real-time operational or network data.
- Background in generative AI or agentic systems and networking/domain knowledge to enhance intelligent automation platforms.