AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10355
Extreme Networks, Inc. (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 30–55 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the architecture, design, and development of scalable, secure, real-time distributed AI and networking platforms integrating agentic AI and microservices.
- Own end-to-end software lifecycle including deployment and operations of next-generation high-performance AI infrastructure and data processing services.
- Mentor engineering teams and drive technical strategy to deliver production-ready solutions impacting multiple flagship products and new offerings.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
- 7+ years of full software development lifecycle experience including architecture, design, coding, testing, deployment, and production operations.
- 7+ years programming experience in at least one language such as Python, Java, Go, or C++.
- 3+ years leading design/architecture of large-scale distributed systems on cloud platforms (AWS/Azure/GCP).
Ideal Candidate Profile
- Experienced technical leader with demonstrated ability to solve complex, ambiguous problems and produce pragmatic, production-ready distributed AI and networking systems.
- Strong background in distributed real-time data processing, agentic AI, network telemetry, and cloud-native microservices architectures.
- Skilled mentor and strategic driver who fosters engineering excellence, innovation, and operational rigor across teams and projects.