Extreme Networks

Staff Software Engineer – Extreme Platform ONE (10548)

San Jose, California, United States

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hirly's read of this role

Role family: Engineering
Seniority: Lead / management
Stated salary: $170,000 – $190,000 per year
Country: US
Work mode: On-site / unstated
First seen by hirly: 2 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Position details

Title of position: Staff Software Engineer

Position type: Full time - Onsite

Location: San Jose, CA

Position reports to: Sr Manager of Software Systems Engineering

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time

Job Description:

Extreme Networks is seeking a highly skilled Staff Software Engineer to lead Performance Monitoring efforts for our Enterprise Platform ONE (EP1). This role is critical for building and scaling the data pipeline that ingests, enriches, and persistently stores platform telemetry at high volume, while maintaining strong security engineering practices and a performant, reliable infrastructure. The successful candidate will own the data ingestion and storage architecture, drive performance and scalability improvements, and keep the platform's code and dependencies secure.

Scope:

Design, build, and scale a high-throughput data platform supporting enterprise-grade performance monitoring and analytics.

Develop and optimize data streaming, processing, and storage solutions using technologies such as Kafka, Numaflow, ClickHouse, TimescaleDB, and Elasticsearch.

Collaborate closely with platform, data, and engineering teams to deliver scalable, reliable, and high-performance solutions.

Drive continuous improvement in platform performance, scalability, reliability, and operational efficiency.

Stay current with emerging technologies and best practices , with opportunities for professional development through certifications and technical training.

Original posting on Extreme Networks's site ↗

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