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

Extreme Networks
Bengaluru
Workplace: HybridFull timeFunction: IT Operations (Systems/Network Admin)Experience: 10-16 yearsEducation: bachelorsSkills: ["Technical leadership","Mentorship","Problem-solving","Innovation","Collaboration"]

Shape intelligent networking platforms powered by generative AI and autonomous agentic systems. Lead end-to-end development of scalable, secure, observable, and production-ready distributed services that process real-time network and operational telemetry. Own architecture and implementation across real-time microservices, data pipelines, stream processing, and cloud infrastructure, while mentoring engineers and defining a technical vision for next-generation AI networking experiences.

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FursaFursa
Extreme Networks
Extreme Networks
3 days ago

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

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Shape intelligent networking platforms powered by generative AI and autonomous agentic systems. Lead end-to-end development of scalable, secure, observable, and production-ready distributed services that process real-time network and operational telemetry. Own architecture and implementation across real-time microservices, data pipelines, stream processing, and cloud infrastructure, while mentoring engineers and defining a technical vision for next-generation AI networking experiences.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)

Key Responsibilities

  • •Serve as a thought leader to define and drive the technical vision across intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning.
  • •Lead end-to-end software development lifecycle including architecture, design, implementation, testing, deployment, and operations; participate in design and code reviews.
  • •Design and build production-ready real-time data and AI platform services, including scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems.
  • •Mentor and develop engineers, set technical direction, and foster innovation, collaboration, accountability, and engineering excellence.
  • •Ensure high technical rigor and operational excellence by building resilient, secure, observable, and scalable systems and improving architecture, performance, and operational readiness.

Key Requirements

  • •Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
  • •10+ years across the full software development lifecycle, including architecture, design, coding, code reviews, testing, build, deployment, and production operations.
  • •10+ years of programming with proficiency in at least one general-purpose language, preferably Python, Java, Go, or C++.
  • •3+ years designing and architecting large-scale distributed systems, preferably on AWS, Azure, or Google Cloud.
  • •Experience leading design/architecture of distributed microservices and real-time systems processing high-volume, high-velocity data.
Experience:10-16 yearsDistributed systemsReal-time microservicesCloud infrastructureAI or agentic systemsStream processing
Education:Bachelor's in Computer Science, Engineering, Mathematics (or related technical discipline)
Skills:Technical leadershipMentorshipProblem-solvingInnovationCollaboration
Tech Stack:PythonJavaGoC++AWSAzureGoogle CloudMicroservicesStream processingKafkaSparkFlinkPySparkMapReduceNetwork telemetryReal-time analyticsDistributed data platforms

Company Brief

Extreme Networks
Provides wired and wireless network infrastructure, cloud-driven network management, and analytics for enterprises and service providers, delivering switching, routing, security, and access solutions.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1996
Glassdoor
Glassdoor: 3.6
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