Director of Software Systems Engineering at Extreme Networks ยท 9d ago
๐๐ ๐๐ซ๐ ๐ก๐ข๐ซ๐ข๐ง๐ ๐ ๐จ๐ซ๐ฐ๐๐ซ๐ ๐๐๐ฉ๐ฅ๐จ๐ฒ๐๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ฌ ๐๐ญ ๐๐ฑ๐ญ๐ซ๐๐ฆ๐ ๐๐๐ญ๐ฐ๐จ๐ซ๐ค๐ฌ.
We are building a new Forward Deployed Engineering team, and we are looking for strong software engineers who enjoy solving hard problems, writing production code, and working directly with customers.
Our FDEs are ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐ฆ๐๐ง๐ญ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ฌ who combine deep software engineering with hands-on work in customer environments. They work side by side with customer technical teams to design, build, deploy, and stabilize production solutions across AI, agentic systems, automation, data, integrations, networking, and cloud infrastructure.
But delivering for one customer is only part of the job.
๐๐ก๐๐ญ ๐ฐ๐ ๐ฅ๐๐๐ซ๐ง ๐๐ซ๐จ๐ฆ ๐๐๐๐ก ๐๐ง๐ ๐๐ ๐๐ฆ๐๐ง๐ญ ๐ฌ๐ก๐จ๐ฎ๐ฅ๐ ๐ฆ๐๐ค๐ ๐ญ๐ก๐ ๐ง๐๐ฑ๐ญ ๐จ๐ง๐ ๐๐๐ญ๐ญ๐๐ซ.
The team will identify reusable patterns, build reusable capabilities, and help shape how Extreme's products and platforms evolve.
We are hiring across multiple engineering levels. If this sounds like your kind of work, or you know someone who would be a great fit, please apply here.
Senior Forward Deployed Engineer (Canada) : https://lnkd.in/g-APHC8a
Senior Forward Deployed Engineer (USA): https://lnkd.in/gyNF4UyC
Staff Forward Deployed Engineer: https://lnkd.in/gajzccUf
#Hiring #ForwardDeployedEngineering #FDE #SoftwareEngineering #AI #AgenticAI #Networking
Saravanan Palaniyandi
Director of Software Systems Engineering at Extreme Networks ยท 2w ago
๐ ๐ณ๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ ๐ฑ๐ฒ๐ฝ๐น๐ผ๐๐ฒ๐ฑ ๐ฒ๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐ฝ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ ๐ถ๐ ๐ต๐ฒ๐ฎ๐น๐๐ต๐ ๐๐ต๐ฒ๐ป ๐๐ต๐ฒ ๐๐ต๐ถ๐ฟ๐ฑ ๐ฐ๐๐๐๐ผ๐บ๐ฒ๐ฟ ๐ฐ๐ผ๐๐๐ ๐น๐ฒ๐๐ ๐๐ผ ๐ฑ๐ฒ๐ฝ๐น๐ผ๐ ๐๐ต๐ฎ๐ป ๐๐ต๐ฒ ๐ณ๐ถ๐ฟ๐๐.
AWS just put $1 billion into it. Microsoft is embedding 6,000 engineers inside customer operations. OpenAI, Google Cloud, and Salesforce are building teams of their own. The reason is straightforward: AI systems do not behave the same way at every customer, the way a CRM record does, so companies are sending engineers into the field again to close the gap between what the technology can do and what customers can actually run.
That gap has opened before. IBM's systems engineers worked on-site in the mainframe era. Systems integrators did it for ERP. SaaS pushed the work into solution architects and customer success. Each time, the model worked when what the field learned made its way back into the product, and it failed when it didn't.
๐ช๐ต๐ฎ๐ ๐ฑ๐ฒ๐ฐ๐ถ๐ฑ๐ฒ๐ ๐๐ต๐ฒ๐๐ต๐ฒ๐ฟ ๐ถ๐ ๐๐ผ๐ฟ๐ธ๐ ๐ถ๐๐ป'๐ ๐ฒ๐ณ๐ณ๐ผ๐ฟ๐. ๐๐'๐ ๐ฒ๐ฐ๐ผ๐ป๐ผ๐บ๐ถ๐ฐ๐. It fails on the company's side when reuse never happens and the business ends up running services with a product attached. It fails on the customer's side when the deployment succeeds but the customer can never operate, change, or extend it without the company's engineers coming back.
For a deeper look: ๐ง๐ต๐ฒ ๐๐ฐ๐ผ๐ป๐ผ๐บ๐ถ๐ฐ๐ ๐ผ๐ณ ๐๐ผ๐ฟ๐๐ฎ๐ฟ๐ฑ ๐๐ฒ๐ฝ๐น๐ผ๐๐ฒ๐ฑ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด ๐
#ForwardDeployedEngineering #AIStrategy #Enteโฆ
