About the position
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Position Summary Join a revolutionary team of Distributed Cloud Data engineering, Analytics, Cloud service specialists to build core data system, analytics, telemetry, AI/ Generative AI powered services at scale in the growing field of multi-cloud SaaS (Software as a Service), Security and Multi Cloud Networking solutions. We are looking for a Sr Principal Engineer to join our Data engineering team to accelerate data platform and data and telemetry missions in the F5 Distributed Cloud Platform Group. As a critical member of the Distributed Cloud Data engineering team, you will be responsible for leading the architecture, design and development of the data systems and data services for the new landscape of F5 SaaS products.
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
Requirements
- Bachelor’s degree (or above, Graduate degree preferred) in computer science or equivalent professional experience (Principal level with 10+ years, Sr Principal level with 13+ years, Architect level with 15+ years)
- Extensive experience in Data Engineering and SaaS products with principal or architect roles
- Experience in data system, 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, Elasticsearch, StarRocks, Big Query, Redis)
- 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
- Experience in 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
Benefits
- Incentive compensation
- Bonus
- Restricted stock units
- Comprehensive benefits package
