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The Data Devops team is tasked with providing our data engineering and analytics teams with the right tools. You will be responsible for developing and maintaining the data infrastructure, incorporating technologies such as Kafka, Flink, or Spark. Additionally, you will create and enhance tooling and platforms to empower the engineering team with improved self-service capabilities.
Job Responsibility:
Lead the design of our DevOps strategy
Work closely with cross-functional teams to develop and evolve the cloud infrastructure optimized for performance, scalability and security
Own our Data and AI infrastructure across the world
Develop observability and detection capabilities
Build consensus amongst DevOps Engineers across geographies about the tools and practices we use
Requirements:
3+ years of DevOps engineering experience
Demonstrated expertise in Kubernetes, Terraform, and GitOps
Data streaming engineering experience
Prior experience working with data streaming platforms such as Kafka, Flink or Spark
Hands-on experience with at least one programming language
Bachelor degree or above in computer science or engineering related majors