F5 is looking to build core data systems, analytics, telemetry, and AI/Generative AI powered services at scale in the growing field of multi-cloud SaaS, Security, and Multi Cloud Networking solutions. The Sr Principal Engineer will accelerate data platform and data and telemetry missions within the F5 Distributed Cloud Platform Group.
Requirements
- Extensive experience in Data platform and SaaS products with principal or architect roles.
- Experience in data systems, data services, observability, telemetry architecture for cloud services.
- Proficiency in Cloud service development and programming languages such as GO, Java, Python, C++, Rust, WASM.
- Deep knowledge and experience with data/ stream processing (e.g., Kafka, Pubsub, Dataflow, Vector), database and data warehouse (e.g., ClickHouse, StarRocks, Elasticsearch, Big Query, Redis), analytics and AI platform (e.g. Databricks, Snowflake)
- Experience with data driven, ML/AI, Generative AI powered applications in security, networking, telemetry, AI/BI, product growth and engineering productivity.
- Experience with logging, metrics, tracing, Prometheus, Open Telemetry, and pipeline.
- Experience with data system quality, monitoring, and performance.
Responsibilities
- Build F5 Distributed Cloud data system and management systems.
- Innovate/ design/ develop data, analytics, AI/Gen AI powered service on SaaS platform.
- Architect/ design/develop telemetry and metrics pipeline and services.
- As a subject-matter expert on data system, AI/ ML (Machine Learning), cloud service, networking, and security, work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud and SaaS product delivery.
Other
- Bachelor’s degree (or above, Graduate degree preferred) in computer science or equivalent professional experience (Sr Principal level with 12+ years).
- Experience with SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting.
- Experience with container and orchestration technologies, Kubernetes and Microservice.
- Experience with automation and cloud Infra, tooling, workload, modern CI/CD.
