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About the Role

As a Senior Forward Deployed Engineer, you will work directly with customer technical teams to design, build, deploy, and stabilize production solutions using Extreme's products and platforms. You will take ownership of significant engineering workstreams and, depending on the engagement, complete customer solutions. You will work across application development, agentic AI, integrations, data, APIs, automation, networking, and cloud infrastructure to solve problems in real customer environments. You will write production software, troubleshoot complex systems, and work through ambiguity without requiring a fully defined technical specification. You will also help identify reusable engineering patterns and platform gaps based on what you learn while delivering customer solutions.

Responsibilities

Work directly with customer technical teams to understand their workflows, systems, data, technical constraints, and desired outcomes.
Collaborate with customers and other FDEs to design and deliver production solutions using Extreme's products and platforms.
Own significant technical components or workstreams from design and implementation through deployment and production readiness.
Write production-quality software, including applications, agents, APIs, integrations, data connectors, tools, skills, workflows, and automation as required by the solution.
Integrate Extreme's products and platforms with customer systems, data sources, APIs, identity systems, infrastructure, and operational workflows.
Build and maintain automated tests, AI evaluations where appropriate, deployment automation, CI/CD, and infrastructure-as-code.
Implement logging, monitoring, tracing, and other observability required to operate solutions reliably in production.
Diagnose and resolve complex issues across software, data, integrations, networking, infrastructure, and AI components.
Participate in architecture, design, and code reviews and contribute to sound technical decisions across the engagement.
Support production deployment and stabilization and ensure delivered components meet agreed production-readiness requirements.
Create clear technical documentation, deployment guidance, and operational runbooks.
Identify reusable components, integrations, tools, skills, automation, and engineering patterns that can accelerate future customer deployments.
Identify platform gaps and define new feature requirements, working with Product teams to incorporate recurring customer needs into Extreme's products and platforms.
Contribute to engineering standards, technical practices, and knowledge sharing across the FDE organization.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
5+ years of experience across the software development lifecycle, including design, implementation, testing, deployment, and production operations.
Strong hands-on software development experience with proficiency in one or more general-purpose programming languages such as Python, Java, Go, TypeScript, C#, or C++.
Experience building and operating distributed, cloud-based, or enterprise software systems.
Experience with APIs, integrations, data, containers, and modern software deployment practices.
Experience debugging complex software or systems issues and delivering production-quality solutions.
Demonstrated ability to work effectively through ambiguous technical problems and drive engineering work to completion.
Experience collaborating directly with customers, partners, or external technical teams.
Strong written and verbal communication skills.
Ability to travel to customer sites as required by the engagement.
Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline.
Experience building LLM-based or agentic systems involving tool use, retrieval, orchestration, context management, evaluation, or production deployment.
Familiarity with Model Context Protocol (MCP) and modern agent frameworks.
Experience with networking, network management, telemetry, observability, or distributed systems.
Experience with cloud-native technologies such as Kubernetes, containers, infrastructure-as-code, and CI/CD.
Experience integrating enterprise APIs, data platforms, identity systems, and operational applications.
Experience with distributed data platforms, streaming systems, or real-time processing.
Prior experience in Forward Deployed Engineering or another technical customer-facing software engineering role.

Skills

Python
Java
Go
TypeScript
C#
C++
APIs
Integrations
Data
Containers
LLM-based systems
Agentic systems
Model Context Protocol (MCP)
Agent frameworks
Networking
Network management
Telemetry
Observability
Distributed systems
Kubernetes
Infrastructure-as-code
CI/CD
Enterprise APIs
Data platforms
Identity systems
Operational applications
Distributed data platforms
Streaming systems
Real-time processing

Location

Toronto, Canada

Work Type

Full time
Hybrid

Experience Level

Senior
5+ years of experience across the software development lifecycle

Education Level

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline.

Salary/Compensations

120,000 - 130,000 CAD

Benefits

Medical, dental, and vision insurance
Flexible work schedules and work-from-home opportunities where role permits
Paid time off, including open time off in eligible markets and statutory leave in all markets
Paid holidays in accordance with local practice
Retirement savings programs, including RRSP matching in Canada
Employee Stock Purchase Program, where eligible
Adoption assistance and fertility treatment support, where eligible
Flexible spending accounts, where eligible
Employee assistance program
Tuition reimbursement, where eligible
Life and disability insurance
Performance-based bonus

About the Company

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.
Become part of something big with Extreme!
As a global networking leader, learn why there is no better time to join the Extreme team.

Equal Opportunity

Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization.
Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We encourage people from underrepresented groups to apply.
Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance.
An applicant's conviction history will not be considered until after a conditional offer of employment has been made.
Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.
Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.