Extreme Networks

2 weeks ago

Staff SW Systems Engineer - Agentic Product Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Build and ship production-grade internal AI-powered tools that accelerate Extreme’s adoption of AI-assisted ways of working. Own features end-to-end—from design and implementation to testing and deployment—using agentic AI coding agents (not autocomplete) to direct, evaluate, and iterate. You’ll create AI workflow infrastructure, internal dashboards, and MCP-based integrations connecting systems like GitHub, Jira, and Confluence, alongside a small high-impact engineering team.

Location: Seattle, San Jose, Washington DC

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

Key Responsibilities

•Own full-stack features end-to-end: design, implementation, testing, and deployment from inception to production.
•Use AI coding agents as your primary execution tool to direct, evaluate, and iterate on agent-generated output.
•Build backend APIs, data pipelines, lightweight frontends, and GitHub Actions workflows without handoffs.
•Create AI workflow infrastructure (automation, integrations, governance) connecting GitHub, Jira, and Confluence into repeatable pipelines.
•Build internal tools such as dashboards and MCP servers/integrations that expose organizational knowledge to AI coding agents.

Key Requirements

•8+ years of professional software engineering experience, with a track record of shipping production systems.
•Proficiency in Python and TypeScript/JavaScript to build backend services, pipelines, frontends, and automation.
•CI/CD experience building pipelines and automated workflows (GitHub Actions).
•Cloud fundamentals (AWS or Azure) to deploy what you build.
•Production experience with AI coding agents and agent frameworks (e.g., Claude Code, GitHub Copilot, Cursor; Anthropic SDK, Microsoft Agent Framework) plus familiarity with MCP and RAG/knowledge graphs/vector databases.

Experience:8-14 yearsAI-assisted developmentCloudAgentic workflowsInternal tooling

Skills:OwnershipIteratingCollaborationOperating with minimal supervision

Tech Stack:PythonTypeScriptJavaScriptClaude CodeGitHub CopilotCursorAnthropic SDKMicrosoft Agent FrameworkLangGraphMCP (Model Context Protocol)GitHubJiraConfluenceGitHub ActionsAWSAzureCI/CDRAG pipelinesKnowledge GraphsVector databases

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: 3.6

Website LinkedIn

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Extreme Networks

2 weeks ago

Staff SW Systems Engineer - Agentic Product Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Seattle, San Jose, Washington DC

Workplace: Hybrid

Employment Type: Full time

Job Function: IT Operations (Systems/Network Admin)

Seniority: Mid level

Key Responsibilities

•Own full-stack features end-to-end: design, implementation, testing, and deployment from inception to production.
•Use AI coding agents as your primary execution tool to direct, evaluate, and iterate on agent-generated output.
•Build backend APIs, data pipelines, lightweight frontends, and GitHub Actions workflows without handoffs.
•Create AI workflow infrastructure (automation, integrations, governance) connecting GitHub, Jira, and Confluence into repeatable pipelines.
•Build internal tools such as dashboards and MCP servers/integrations that expose organizational knowledge to AI coding agents.

Key Requirements

•8+ years of professional software engineering experience, with a track record of shipping production systems.
•Proficiency in Python and TypeScript/JavaScript to build backend services, pipelines, frontends, and automation.
•CI/CD experience building pipelines and automated workflows (GitHub Actions).
•Cloud fundamentals (AWS or Azure) to deploy what you build.
•Production experience with AI coding agents and agent frameworks (e.g., Claude Code, GitHub Copilot, Cursor; Anthropic SDK, Microsoft Agent Framework) plus familiarity with MCP and RAG/knowledge graphs/vector databases.

Experience:8-14 yearsAI-assisted developmentCloudAgentic workflowsInternal tooling

Skills:OwnershipIteratingCollaborationOperating with minimal supervision

Company Brief

Extreme Networks

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: 3.6

Website LinkedIn