AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10362
Extreme Networks, Inc. (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 30–50 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of scalable, secure, and high-performance AI infrastructure and distributed microservices for real-time network data processing and agentic AI systems.
- Drive the end-to-end software development lifecycle including architecture, design, testing, deployment, and operations for AI and networking platforms.
- Mentor engineering teams, define technical vision, and improve system performance and operational readiness for enterprise-grade AI networking solutions.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent experience).
- 7+ years software development lifecycle experience with at least 7 years programming proficiency (Python, Java, Go, or C++ preferred).
- 3+ years leading design and architecture of large-scale distributed systems on cloud platforms (AWS, Azure, or Google Cloud).
- Experience with real-time microservices, distributed data platforms, AI or agentic systems, network telemetry, or large-scale analytics.
Ideal Candidate Profile
- Experienced in building and operating scalable, event-driven microservices processing high-volume, real-time network or operational data.
- Proven track record leading complex distributed systems development and mentoring engineering teams in a technical leadership role.
- Expertise at the intersection of AI, agentic systems, networking, and cloud-native distributed architectures for enterprise applications.