Manager, Data Platform and Engineering

F5

Multiple Locations, US
Data platform strategy
Scalable data systems
Observability platforms
Lead a data-centric, AI-first, and platform-first strategy for next-generation SaaS products

Job Summary

  • Lead a data-centric, AI-first, and platform-first strategy for next-generation SaaS products.
  • Drive the architecture, design, and evolution of data pipelines, storage, analytics, and observability platforms.
  • Foster a human-first engineering culture by leading with empathy, kindness, and integrity, creating an environment of psychological safety.

Matching Summary

Lead a data-centric, AI-first, and platform-first strategy for next-generation SaaS products.

Skills & Requirements

Must-have

  • Data platform strategy
  • Scalable data systems
  • Observability platforms
  • Data pipelines and storage
  • AI/Generative AI techniques
  • Telemetry and metrics pipeline
  • Cloud native languages (GO, Rust, Java, Python)

Nice-to-have

  • Human-first engineering culture
  • Psychological safety for engineers
  • Collaboration across teams
  • Empathy, kindness, and integrity

Key Requirements

  • 8+ years professional experience
  • 2+ years technical management
  • Bachelor's degree in computer science or equivalent
  • Experience with Kafka, Pubsub, Spark, Flink
  • Experience with ClickHouse, StarRocks, Elasticsearch, Big Query
  • Experience with Databricks, Snowflake
  • Experience with logs, metrics, Prometheus, Open Telemetry
  • Experience with Kubernetes and Microservice

Work Rights

Not specified

Tailored Resume

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