Staff SW Systems Engineer
- Remote, United States
Compensation: This role has a market-competitive compensation with an anticipated base compensation range of USD 160000 to USD 180000. · Full-time
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Job details
- Pay
- Compensation: This role has a market-competitive compensation with an anticipated base compensation range of USD 160000 to USD 180000.
- Job type
- Full-time
- Experience
- 8+ years of experience across the software development lifecycle, including architecture, design, implementation, testing, deployment, and production operations.
- Posting language
- English
- Posted
Original job description
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 there’s no better time to join the Extreme team.
Job Description
What you will do (Job Specific Details on the nature of the job and responsibilities).
Position details Title of position: Staff Software Systems Engineer Position type: Full time Location: Seattle, WA Position reports to: Director of SW Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Technology : Gen AI, Machine Learning, Distributed Systems, Cloud Platforms Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time
Scope Are you energized by solving complex, high-impact problems directly with customers? Do you want to turn emerging technologies in intelligent networking, generative AI, agentic systems, automation, and cloud platforms into production solutions? Do you want what you build and learn in the field to help shape capabilities that benefit customers at scale? Then come advance with us.
About the Position
Forward Deployed Engineers at Extreme are software engineers who work directly with strategic customers to jointly design, build, validate, and deploy solutions to complex business and technical problems using Extreme's products and platforms.
FDEs operate in real customer environments and own technical outcomes from discovery and solution design through implementation, deployment, and production readiness. The solutions they build must meet demanding requirements for scalability, security, reliability, observability, and operational safety.
This is a deeply technical and hands-on engineering organization. FDEs work directly with customers to understand complex problems and design, build, deploy, and stabilize production solutions using Extreme's products and platforms. They write production software, solve complex systems and integration problems, and own technical outcomes from solution design through production readiness. FDEs also identify platform gaps and define new feature requirements, working with Product teams to incorporate recurring customer needs into Extreme's products and platforms.
About the Role
As a Staff Forward Deployed Engineer, you will be the technical lead for complex customer engagements, owning solutions from discovery and architecture through implementation, deployment, and production readiness. You will work side by side with customer engineering teams to understand their environment, data, systems, workflows, and technical constraints and turn complex or ambiguous problems into production solutions. Depending on the engagement, these solutions may include agents, applications, integrations, data connectors, APIs, tools, skills, workflows, automation, and supporting infrastructure. You will remain deeply hands-on while providing technical leadership to other engineers on the engagement. You will also identify reusable patterns and platform gaps that emerge from customer work and help turn those learnings into capabilities that can benefit customers beyond a single engagement.
Key Responsibilities
- Lead technical discovery with customer engineering teams to understand workflows, systems, data, technical constraints, and desired outcomes.
- Own the architecture and technical delivery of complex customer solutions from solution design through production readiness.
- Write production-quality software and build agents, applications, APIs, integrations, data connectors, tools, skills, workflows, automation, and supporting services as required by the solution.
- Integrate Extreme's products and platforms with customer data sources, identity systems, enterprise applications, APIs, infrastructure, and operational workflows.
- Make architecture and design decisions across applications, AI, data, integrations, security, infrastructure, deployment, and operations.
- Design and implement appropriate testing, evaluations, guardrails, security controls, deployment automation, observability, and operational mechanisms.
- Build solutions that meet production requirements for reliability, scalability, security, performance, maintainability, and cost.
- Diagnose and resolve complex problems across software, AI, data, integrations, networking, and infrastructure.
- Lead technical design and code reviews and provide engineering guidance to engineers working on customer engagements.
- Drive solutions through deployment and stabilization, ensuring agreed production-readiness criteria are met.
- Create technical documentation, architecture guidance, operational runbooks, and other artifacts required to operate and maintain delivered solutions.
- Identify reusable architectures, 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.
- Mentor engineers and contribute to engineering standards and practices across the FDE organization.
Basic Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.
- 8+ years of experience across the software development lifecycle, including architecture, 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++.
- Significant experience designing and delivering distributed, cloud-based, or enterprise software systems.
- Experience building production solutions involving AI, automation, data, networking, enterprise integrations, cloud infrastructure, or comparable complex technology domains.
- Strong systems, API, integration, debugging, and software architecture skills.
- Experience taking complex technical solutions from initial requirements and architecture through production deployment.
- Demonstrated ability to operate effectively in ambiguous environments and translate complex problems into pragmatic engineering solutions.
- Experience providing technical leadership through design reviews, architecture decisions, code reviews, or mentoring.
- Experience working directly with customers, partners, or external technical teams.
- Strong written and verbal technical communication skills.
- Ability to travel to customer sites as required by the engagement.
Preferred Qualifications
- Master's or PhD in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related discipline.
- Experience building production generative AI or agentic systems involving tool use, retrieval, planning, orchestration, context management, evaluation, or guardrails.
- Experience with Model Context Protocol (MCP) and modern agent frameworks.
- Experience with networking, network management, telemetry, observability, or distributed systems.
- Experience with cloud-native infrastructure, Kubernetes, containers, infrastructure-as-code, and CI/CD.
- Experience integrating enterprise identity systems, data platforms, APIs, and operational systems.
- Experience with distributed data platforms, streaming systems, or real-time processing.
- Prior experience in Forward Deployed Engineering or another deeply technical customer-facing software engineering role.
Compensation: This role has a market-competitive compensation with an anticipated base compensation range of USD 160000 to USD 180000. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay for this role upon hire. This range is set using objective, gender-neutral criteria based on skills, experience, responsibility, and working conditions. Actual compensation offered will depend on the selected candidate's experience, qualifications, skills, and work location.
Benefits and Total Rewards:
Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include:
- 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 401(k) matching in the United States
- 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 Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.
Equal Employment 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.
Fair chance and background checks 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.
Reasonable accommodation Extreme Networks is committed to providing reasonable accommodations to qualified applicants with disabilities throughout the application, interview, and hiring process. If you require a reasonable accommodation to participate in the application or interview process, please contact [insert contact email and phone]. All requests will be handled confidentially.
Use of artificial intelligence in hiring Extreme Networks may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are made by humans. Applicants have the right to request human review of any automated decision affecting their candidacy and to request information about how their personal data is processed. To exercise these rights, please contact [insert contact email].
Data privacy Personal data provided during the application process will be processed in accordance with Extreme Networks' Candidate Privacy Notice, which is available at https://www.extremenetworks.com/about-extreme-networks/company/legal/privacy-and-cookies-policy. For applicants in the European Economic Area, United Kingdom, and other jurisdictions with comparable data protection laws, the Candidate Privacy Notice describes your rights regarding your personal data.
About Extreme Networks Extreme Networks, Inc. (NASDAQ: EXTR) creates effortless networking experiences that enable people and organizations to advance. We push the boundaries of technology by leveraging machine learning, artificial intelligence, analytics, and automation.
Learn more at www.extremenetworks.com, or follow us on LinkedIn, X, and Facebook.
Job Description Summary
Qualifications
Basic Requirements and Preferred Qualifications for the job.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human oversight. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed - or to exercise any applicable privacy rights - please contact us at privacyinquiries@extremenetworks.com.
Our full privacy statement is available here:Privacy Statement
More about this job
Skills
- Industrial software
- Leadership
- Documentation
- Computer science
- Computer engineering
- Electrical engineering
- Software development
- Programming languages
- Python
- Oracle Java
- Go
- TypeScript
- C#
- C++
- Debugging
- Coaching
- Communication skills
- Machine learning
- Network administration
- Kubernetes
- Infrastructure as code
- CI/CD