AI Principal SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems -10359
Extreme Networks, Inc. (company site, opens in a new tab)10–16 yrsBengaluruHybridDirect career pageEst. 45–70 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the design, development, and deployment of highly scalable, secure, and reliable AI infrastructure and distributed systems for real-time network data processing and intelligent agentic AI solutions.
- Drive the technical vision and architecture across products and platforms involving intelligent networking, distributed microservices, agentic AI, and real-time data pipelines.
- Mentor engineering teams and uphold engineering excellence including operational readiness, system performance, and innovation culture.
Minimum Requirements
- 10+ years of experience in full software development lifecycle and programming (Python, Java, Go, or C++).
- 3+ years leading design and architecture of large-scale distributed systems, preferably cloud-based (AWS, Azure, or Google Cloud).
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline, or equivalent experience.
- Experience in real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI/agentic systems, or network telemetry.
Ideal Candidate Profile
- Experienced technical leader capable of defining and executing strategic technical visions in AI-driven networking and distributed systems at scale.
- Proficient in building and deploying production-ready, scalable, secure microservices and event-driven systems handling high volume, low latency data.
- Capable mentor and hands-on participant who translates complex, ambiguous problems into pragmatic software solutions, fostering engineering rigor and innovation.