AI Staff SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems-10363
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 Staff SW Systems Engineer role at Extreme Networks involves shaping the future of intelligent networking and AI systems by developing scalable platforms that process real-time network data. Responsibilities include leading the software development lifecycle, designing high-performance services, mentoring engineers, and driving technical innovation across products and platforms. The position requires collaboration on complex challenges at the intersection of networking, AI, and distributed systems.
- 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
- Experience in 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
- Experience building highly scalable, event-driven microservices
- 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
Worth weighing
- No salary listed
- The role involves working with complex and potentially ambiguous technical problems
- The position may require adapting to emerging technologies and best practices in a rapidly evolving field.
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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