AI/ML – Data Infrastructure Ingestion Platform Engineer, Siri Search & Knowledge Platform


Job Overview

Key Qualifications

  • Passionate about Data Infrastructure and Stream Processing
  • Experience configuring, deploying and troubleshooting large scale Kafka clusters in production environment
  • Experience designing and building scalable event-driven services
  • Familiarity with major cloud providers such as AWS, Azure and GCP
  • Experience with alerting, monitoring and remediation automation in a large scale distributed environment
  • Extensive programming experience in Java, Python or Go
  • **Nice to Have**
  • Interest or knowledge in using public or private Kubernetes frameworks for scaling data and services infrastructure
  • Experience with configuration management (Puppet, Chef, or Ansible) and/or infrastructure-as-code frameworks (Terraform, Pulumi)
  • Experience configuring and running Mirror Maker in production
  • Description

    You will be responsible for the ingestion platform used for ingesting and serving worldwide Siri events. We process a triple digit billion events per day. To run our environment efficiently, we drive for proper monitoring, alerting and automation. The team’s goal is to ensure the reliability and performance at the highest level.As a member of the AIML Data Infrastructure Ingestion Platform Team, your responsibilities include: * Manage one of Apple’s largest infrastructure supporting hundreds of millions of Siri customers* Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance* Take part in designing and building out our next generation ingestion platform* Design and build new services to improve reliability of the platform* Establish SLA’s for all core components, services and applications running in production* Build relationships with the stakeholders across the organization to better understand the needs of the internal customers* Manage the infrastructure which powers ETL, Analytics, and Privacy Efforts within AI/ML

    Education & Experience

    BS, MS, or PhD degree in Computer Science or equivalent and 3+ years experience in data technologies

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