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← Extremenetworks

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

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
  • 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
What the job really is

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.

Things to weigh
  • 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
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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