Staff Software Engineer – Extreme Platform ONE (10548)
About The Position
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. The role involves designing, building, and scaling a high-throughput data platform supporting enterprise-grade performance monitoring and analytics. It also includes developing and optimizing data streaming, processing, and storage solutions using technologies such as Kafka, Numaflow, ClickHouse, TimescaleDB, and Elasticsearch. Collaboration with platform, data, and engineering teams is key to delivering scalable, reliable, and high-performance solutions. The engineer will drive continuous improvement in platform performance, scalability, reliability, and operational efficiency, and stay current with emerging technologies and best practices, with opportunities for professional development through certifications and technical training.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- Design and build real-time data ingestion pipelines using Kafka and Numaflow to process high-volume platform telemetry and monitoring events.
- Architect enrichment pipelines that transform raw event data into contextualized, actionable performance signals.
- Own the persistent storage strategy across ClickHouse, TimescaleDB, and Elasticsearch, matching each data store to the right access pattern, and optimize queries, indexing, and partitioning to meet latency and throughput targets at scale.
- Design data retention, rollup, and partitioning strategies that balance query performance with storage cost.
- Tune the EP1 performance monitoring platform to handle growing data volume and query concurrency.
- Identify and resolve bottlenecks across the full pipeline, from Kafka consumer lag to storage-layer query plans.
- Design for horizontal scalability, including partitioning, sharding, and load distribution across data stores.
- Establish capacity planning and load-testing practices for the platform's data infrastructure.
- Support pre-deployment verification, including performance regression testing and security checks.
- Collaborate with QA to validate data pipeline correctness and system resilience under load.
- Apply secure coding practices and participate in code reviews with a security lens.
- Maintain documentation of system architecture, data flows, and operational runbooks.
- Partner with engineering, data, and platform teams on design reviews and technical decisions.
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 401K 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
