AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10360

Software Engineering role to help shape intelligent networking, generative AI, and autonomous agentic systems. The team develops core platforms and services spanning networking, agentic AI, distributed data processing, real-time analytics, and intelligent automation, impacting multiple Extreme flagship products as well as new company offerings. The role involves building high-performance, real-time systems that process massive volumes of network data, derive actionable insights, and enable intelligent agents to assist users or act on their behalf.

Responsibilities

Serve as a thought leader and forward thinker, helping define and drive an innovative technical vision across products and platforms; Design and launch strategic capabilities spanning intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning; Lead the end-to-end software development lifecycle, including architecture, design, implementation, testing, deployment, and operations; Lead technical discussions and strategy while participating hands-on in design reviews, code reviews, and implementation; Design and build high-performance, production-ready services for next-generation real-time data and AI platforms, including scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems; Mentor and develop engineers across the team, establish a clear technical direction, and foster a culture of innovation, collaboration, accountability, and engineering excellence; Uphold the highest standards of technical rigor and operational excellence, building highly resilient, secure, observable, and scalable systems

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience; 7+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations; 7+ years of programming experience, with proficiency in at least one general-purpose programming language, preferably Python, Java, Go, or C++; 3+ years of experience leading the design and architecture of large-scale distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud; Experience in one or more of the following areas: real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI or agentic systems, network telemetry, or large-scale analytics; Experience designing systems that process high-volume, high-velocity data with stringent requirements for scalability, availability, latency, and operational reliability; Experience mentoring engineers, serving as a technical lead, or leading an engineering team; Demonstrated ability to tackle highly complex, ambiguous, or undefined technical problems and translate them into pragmatic, production-ready solutions

Nice to have

Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline, or equivalent practical experience; Experience building highly scalable, event-driven microservices and processing large volumes of real-time operational or network data; Experience building generative AI or agentic systems, including tool use, planning, memory, retrieval, orchestration, evaluation, and production deployment; Experience developing networking, network management, observability, telemetry, cloud infrastructure, or distributed control-plane systems; Experience with distributed data and processing technologies such as Kafka, Spark, Flink, PySpark, MapReduce, or comparable technologies; Experience working with large-scale, real-world datasets and building reliable production systems that translate data into actionable insights or automated outcomes