Staff Software Engineer – Extreme Platform ONE (10548)

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.

Key Responsibilities

Basic Qualifications:

• 8+ years of software engineering experience, including significant experience building and scaling data pipelines and/or observability platforms.
• Strong hands-on experience with Kafka (or similar streaming platforms) for high-throughput data ingestion.
• Experience with Numaflow or similar stream-processing/dataflow frameworks.
• Deep expertise in ClickHouse, TimescaleDB, or other time-series/columnar databases, including schema design and query optimization.
• Experience with Elasticsearch for search and analytics at scale.
• Strong query optimization skills across SQL, time-series, and search-oriented data stores.
• Proficiency in multiple programming languages (Go, Java, Python, or similar).
• Solid understanding of container security, Kubernetes, and cloud infrastructure.
• Experience with CI/CD pipelines and build systems.
• Working knowledge of security scanning tools and common vulnerability types (OWASP Top 10, CWE).
• Bachelor's degree in Computer Science or related field, or equivalent professional experience.

Preferred Qualifications:

• Experience designing multi-tenant, high-cardinality time-series data platforms. Background in observability or monitoring platforms (metrics, logs, traces). Experience with stream-processing and data enrichment pipelines at scale. Knowledge of capacity planning, load testing, and performance benchmarking. Familiarity with container security scanning and secure coding practices. Experience with API security testing and web application security. Security certifications (CEH, Security+, or similar) a plus, not required. Data Platform & Storage: Streaming/Ingestion: Kafka, Numaflow Storage: ClickHouse, TimescaleDB, Elasticsearch Query optimization, indexing, and partitioning strategies Engineering & Infrastructure: Languages: Java, Python, Go, C#, JavaScript Build Systems: Maven, Gradle, npm, pip, cargo Version Control: Git, GitHub, GitLab Cloud Platforms: AWS, Azure, GCP Container Technologies: Docker, Kubernetes, container registries CI/CD: Jenkins, GitLab CI, GitHub Actions, Azure Pipelines IaC: Terraform, CloudFormation, Ansible Soft Skills: Attention to detail and strong analytical thinking Excellent written and verbal communication skills Ability to work independently and manage multiple priorities Proactive problem-solving and troubleshooting abilities Passion for building scalable, reliable data systems Salary based on qualifications, experience and region up to USD 170 k to 190K plus benefits.

Equal Employment Opportunity

Fair chance and background checks

Compensation: USD 170,000 – 190,000 per year salary