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Extremenetworks

AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10356

Extremenetworks · Bangalore

Posted 26 days ago

or apply directly on Extremenetworks's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
Extremenetworks's roles stay open a median of 42 days
Reposted
No
Salary listed
No
1% of Extremenetworks's roles list one
Ghost-job risk at Extremenetworks
low
0 stale, 1 reposted of 143 open
Hiring momentum
172 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Extremenetworks's own lever board since 2026-08-04. Full hiring picture for Extremenetworks.

About this role

As an AI Staff SW Systems Engineer at Extreme Networks, you will lead the development of scalable systems that process real-time network data and enable AI experiences. Your role involves designing and launching capabilities in intelligent networking, distributed systems, and agentic AI, while mentoring engineers and driving technical innovation. You will oversee the entire software development lifecycle, ensuring high standards of performance and operational excellence.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Extremenetworks as an employer.

What you need

  • 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
  • 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

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
  • 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

Worth weighing

  • No salary listed
  • The role involves leading complex projects which may require navigating ambiguous technical challenges.
  • The position emphasizes mentorship and leadership, which may appeal to candidates looking to grow in these areas.

Summarised from Extremenetworks's posting. Read the full original.

Listed by Extremenetworks on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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