AI Staff SW Systems Engineer

Extreme Networks
Bengaluru, Chennai
Workplace: HybridFull timeFunction: IT Operations (Systems/Network Admin)Experience: 7+ yearsEducation: high_schoolSkills: ["Technical leadership","Mentorship","Collaboration","Accountability","Problem-solving"]

Design and lead core software platforms for intelligent networking and agentic AI, building scalable, secure, observable real-time systems that process high-volume network telemetry and operational data. Own architecture through operations across distributed microservices, data pipelines, and cloud-native services. Serve as a technical thought leader, lead design/code reviews, and mentor engineers while driving production-ready performance, reliability, and engineering excellence.

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FursaFursa
Extreme Networks
Extreme Networks
2 days ago

AI Staff SW Systems Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and lead core software platforms for intelligent networking and agentic AI, building scalable, secure, observable real-time systems that process high-volume network telemetry and operational data. Own architecture through operations across distributed microservices, data pipelines, and cloud-native services. Serve as a technical thought leader, lead design/code reviews, and mentor engineers while driving production-ready performance, reliability, and engineering excellence.
Location: Bengaluru, Chennai
Workplace: Hybrid
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)
Seniority: Mid level

Key Responsibilities

  • •Define and drive an innovative technical vision across intelligent networking, distributed systems, real-time data processing, agentic AI, and machine learning.
  • •Lead end-to-end software development lifecycle: architecture, design, implementation, testing, deployment, and operations.
  • •Design and build production-ready services for real-time data and AI platforms, including scalable data pipelines, distributed microservices, agentic solutions, and integrations with networking systems.
  • •Participate hands-on in design and code reviews; lead technical discussions and strategy.
  • •Mentor and develop engineers while championing resilient, secure, observable, and scalable systems and improvements to engineering processes and operational readiness.

Key Requirements

  • •Bachelor’s degree in Computer Science/Engineering/Mathematics or equivalent practical experience.
  • •7+ years across the complete software development lifecycle (architecture, design, coding, testing, build, deployment, production operations).
  • •7+ years 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 data/AI or agentic systems (including network telemetry/analytics) with strong scalability and reliability requirements.
Experience:7+ yearsDistributed systemsMicroservicesCloud platformsReal-time dataAIAgentic systemsNetwork telemetryStream processing
Education:High School in Computer Science, Engineering, Mathematics, Machine Learning, or related technical discipline
Skills:Technical leadershipMentorshipCollaborationAccountabilityProblem-solving
Tech Stack:PythonJavaGoC++AWSAzureGoogle CloudMicroservicesStream processingDistributed data platformsKafkaSparkFlinkPySparkMapReduceCloud infrastructureReal-time analyticsNetwork telemetryObservabilityTelemetry

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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