AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10363
Extreme Networks, Inc. (company site, opens in a new tab)7+ yrsBengaluruHybridDirect career pageEst. 30–45 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of scalable, secure, real-time distributed systems powering AI-driven intelligent networking and agentic automation.
- Own end-to-end software lifecycle for high-performance microservices, data pipelines, and AI platforms processing large volumes of network data.
- Provide technical leadership, mentor engineers, and drive innovation in architecture, operational excellence, and emerging AI technologies.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related technical discipline (or equivalent experience).
- 7+ years software development experience including architecture, design, coding, testing, deployment, and operations.
- 7+ years programming experience in general-purpose languages such as Python, Java, Go, or C++.
- 3+ years leading design and architecture of large-scale distributed systems on cloud platforms (AWS, Azure, GCP).
Ideal Candidate Profile
- Experience with real-time microservices, distributed data platforms, agentic AI systems, or network telemetry at scale.
- Proven ability to lead teams technically, solve complex ambiguous problems, and deliver production-ready solutions.
- Background in AI infrastructure, generative AI, or cloud-native networking systems with familiarity in technologies like Kafka, Spark, Flink, or similar.