Extreme Networks

Bengaluru
Total Offices: 2
3,661 Total Employees
Year Founded: 1996

Jobs at Extreme Networks

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2 Days AgoSaved
Hybrid
Chennai, Tamil Nadu, IND
Software
Lead GovRamp/FedRamp compliance for the EP1 platform by running SAST/DAST/container/dependency scans, triaging and remediating CVEs, managing dependency upgrades, coordinating GovRamp build/testing, maintaining compliance documentation, and supporting audits and pre-deployment security checks.
2 Days AgoSaved
Hybrid
Chennai, Tamil Nadu, IND
Software
Lead FedRAMP/GovRAMP compliance for the EP1 platform by running SAST/DAST/container/dependency scans, triaging and remediating CVEs, managing dependencies, supporting secure builds and CI/CD, maintaining compliance documentation, and coordinating audits with engineering, QA, and compliance teams.
3 Days AgoSaved
Hybrid
Chennai, Tamil Nadu, IND
Software
Design, develop and automate end-to-end test suites for cloud-based networking products. Execute functional, integration, performance and scale tests; review customer issues; collaborate with product, development and CloudOps; perform API and UI automation; and validate networking, security and virtualization features.
3 Days AgoSaved
Hybrid
Chennai, Tamil Nadu, IND
Software
Design and execute test methodologies for cloud-based enterprise wireless networks, perform thorough feature testing, identify and triage defects, collaborate with developers to debug and close issues, work with automation teams on test scripts, and maintain testbeds.
Software
Senior QA engineer responsible for testing and validating wired/wireless networking and cloud solutions. Develop automation, triage and resolve production issues, perform root cause analysis across network, OS, application and cloud layers, and use observability tools to debug distributed systems.
21 Days AgoSaved
Hybrid
Chennai, Tamil Nadu, IND
Software
Design and build internal AI-powered tooling and agentic workflows end-to-end: backend services, data pipelines, lightweight frontends, CI/CD, cloud deployment, MCP integrations, RAG/knowledge-graph/vector DB systems, and integrations with GitHub/Jira/Confluence to accelerate AI-assisted engineering workflows.
Software
Design, implement, and lead large-scale generative AI and ML systems (LLM fine-tuning, RAG, agents, Graph ML). Build REST APIs, deploy with Docker/Kubernetes, optimize big-data workflows, mentor engineers, and operate ML services on cloud platforms.