Software Development Engineer III, Distributed Cloud

Position Summary

• Join a revolutionary team of Distributed Cloud Data platform, 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 Software Engineer to join our Data platform and service team to accelerate data platform and data and observabilitymissions in the F5 Distributed Cloud Platform Group.
• As a member of the Distributed Cloud Data platform team, you will be responsible for designing and developing data systems and data services across hybrid Cloud for the new landscape of F5 SaaS products.

Responsibilities

• Build F5 Distributed Cloud data system and innovate in next Gen data and analytics platform
• Accelerate the deployment, automation and operations of the data platform across on Prem and Cloud
• Implement observability strategies and performance monitoring of system
• Design/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform
• Design/develop/enhance telemetry and metrics pipeline and services
• Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery

Required Qualifications

• Bachelors degree in computer science or equivalent professional experience (5+ years).
• Proficiency inCloud native development and programming languages such as GO, Java, Python
• Extensive hands-on experience in data platform and SaaS products
• Proficiencyin data/ stream processing (e.g., Kafka, Pubsub, Dataflow,Vector, Spark, Flink), database and data warehouse (e.g., ClickHouse, StarRocks, Elasticsearch, Big Query), analytics and AI platform (e.g. Databricks, Snowflake)
• Proficiency in deployment and automation of data system, analytics pipeline across on Prem and Cloud
• Experience with logs, metrics, telemetry, Prometheus, Open Telemetry
• Experience with data system observability, monitoring, alerting, quality 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
• Strong analytical, troubleshooting, and end to end debugging skills in data system and pipeline with extensive knowledge from network, routing, Infra, underlay to VPN, DNS, Load Balancer technologies