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AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10362

Extremenetworks
Location
Bangalore
Posted
18 days ago
Department
Engineering
What they actually want (must-haves)
  • 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
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
What the job really is

As an AI Staff SW Systems Engineer at Extreme, you will lead the development of scalable systems that process real-time network data and enable AI agents to perform tasks on behalf of users. Your role involves overseeing the entire software development lifecycle, from architecture and design to implementation and operations, while mentoring engineers and fostering a culture of innovation. You will work with cutting-edge technologies in intelligent networking, distributed systems, and AI infrastructure, contributing to the creation of impactful solutions for enterprise use cases.

Things to weigh
  • No salary listed
  • Role involves leading and mentoring, which may require strong leadership skills
  • Focus on cutting-edge technologies may appeal to those interested in innovation but could be challenging for those less experienced in AI and distributed systems
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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