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Extremenetworks

AI Principal SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems -10359

Extremenetworks · Bangalore

Posted 14 days ago

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

Is this posting real?

This role has been open
14 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

The AI Principal SW Systems Engineer will lead the development of scalable systems that process real-time network data and enable intelligent experiences through AI and agentic systems. This role involves overseeing the software development lifecycle, designing high-performance services, and mentoring engineers while fostering a culture of innovation. The position focuses on creating core platforms that integrate networking, AI, and distributed systems to deliver impactful solutions for customers.

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
  • 10+ years of experience across the complete software development lifecycle, including architecture, design, coding, code reviews, testing, build processes, deployment, and production operations
  • 10+ 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

Worth weighing

  • No specific salary or benefits listed
  • The role involves a significant leadership component and mentoring of engineers, which may appeal to candidates looking for growth opportunities
  • The focus on AI and distributed systems suggests a modern tech stack, but candidates should consider the complexity and demands of the role

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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