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Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why theres no better time to join the Extreme team. Position : SrSW Systems Engineer Experience : 4 to 8 Years Experience Skills : Python,TypeScript or JavaScript,AI coding agents Claude Code, Copilot, Cursor, Anthropic SDK or Microsoft Agent Framework or LangGraph, MCP (Model Context Protocol) Why Join Extreme Networks There has never been a better time to join Extreme Networks. Through strategic acquisitions and an expanded go-to-market strategy, we have significantly broadened our portfolio and unlocked tremendous opportunities for growth across regions. Recognized as a Technology Leader in the Gartner Magic Quadrant, Extreme is equally committed to building an inclusive, people-first culture. Diversity, inclusion, and equality are core to who we are. We believe employees thrive because of their differences not despite them and we are proud to foster an environment where every Extremist can do their best work. Come become part of something big with us. We are a global leader, with hubs in North America, South America, Asia Pacific, Europe, and the Middle East. About This Team We are a newly formed, small, high-impact team with a strategic mandate: accelerate Extremes adoption of AI-assisted ways of working across the company. We design and build internal AI-powered tools and systems used by Extremes engineering and business teams to move faster, with higher quality. The team reports directly to senior executive leadership. You will work closely with the team lead and alongside a small group of engineers with high ownership over what gets built and shipped. About the Role You are a full-stack builder who takes a spec and owns it end-to-end: design, implementation, testing, and deployment. You work with AI coding agents as your primary execution tool not autocomplete, but agentic workflows where you direct, evaluate, and iterate on agent-generated output to ship production-grade software faster and with higher quality. This is not a specialization role. You own your surface frominceptionto production. Backend APIs, data pipelines, lightweight frontends, GitHub Actions workflows, cloud deployment you handle the full lifecycle without handoffs. What You Will Build You will build internal AI-powered tools and systems that help Extremes engineering and business teams do their best work. This includes: AI workflow infrastructure: Automation, integrations, and governance harnesses that enable teams to adopt andoperateAI-assisted development workflows connecting GitHub, Jira, and Confluence into structured, repeatable pipelines Internal dashboards: Tools that help engineering teams track quality and progress on their own AI-assisted work MCP servers and integrations: Organizational knowledge exposed to AI coding agents via Model Context Protocol enabling agents to query internal systems in real time Qualifications 4+ years of professional software engineering experience, with a track record of shipping production systems Python and TypeScript/JavaScript backend services, pipelines, frontends, and automation CI/CD experience building pipelines and automated workflows (GitHub Actions) Cloud fundamentals (AWS or Azure) enough to deploy what you build Production experience with AI coding agents (Claude Code, GitHub Copilot, Cursor, or equivalent) agentic sessions, not just autocomplete Experience with agent frameworks: Anthropic SDK, Microsoft Agent Framework, or equivalent Familiarity with MCP (Model Context Protocol) Familiarity with RAG pipelines, KnowledgeGraphsandvector databases Experience building internal tooling adopted by large engineering organizations What Success Looks Like at 90 Days You have shipped at least two production features end-to-end The agent context documentation for your assigned surfaces is comprehensive enough that a new team members agent generates correct output from it on first use You areoperatingwith minimal supervision on new problem statements Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.