AI/ML- Kafka and Data Production Engineer, Siri Search, Knowledge & Platform

Seattle, WA 98104
  • Job Code
    200219802
Summary

Summary

Posted: Feb 21, 2021

Weekly Hours: 40

Role Number:200219802

You can play a part in revolutionizing how people use their computers and mobile devices! Do you want to build,...Summary

Summary

Posted: Feb 21, 2021

Weekly Hours: 40

Role Number:200219802

You can play a part in revolutionizing how people use their computers and mobile devices! Do you want to build, operationalize, and support a planet-scale infrastructure upon which features common to most Apple products rely? Do you want to enable groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence? Do you derive satisfaction from creating reliable solutions to tricky data problems and ushering them through from initial planning to production? Come work with a team behind some of the largest big-data systems in existence.

Key Qualifications

  • Experience configuring, deploying, and troubleshooting Kafka clusters in production
  • Ability to program in Java, Python, or Go
  • Experience automating system administration, provisioning, support, and application management tasks
  • Familiarity with deploying services at scale to a major cloud provider such as AWS or GCP
  • Working knowledge of multi-tier applications and their dependencies, including TCP/IP networking, web services, LDAP, and DNS
  • Experience configuring and running Kafka Mirror Maker in production
  • Working knowledge of Hadoop, Flume, Spark, or Hbase
  • Experience with monitoring tools such as Nagios, Splunk, Prometheus, or Graphite
  • Experience with configuration management/orchestration tools such as Puppet, Chef, Ansible, Kubernetes, or Terraform
  • Experience with cloud/hybrid cloud infrastructure
  • Excellent interpersonal and communication skills

Description

You will take ownership of our streaming data ingestion platform that forms the backbone of how we iterate and improve our product's capabilities. Your responsibilities will include the following:

* Provide incident resolution for all streaming data pipeline issues, using your strong troubleshooting ability often, taking steps to isolate and resolve root causes through investigative analysis.
* Evolve the event streaming platform and drive its adoption and standardization throughout the organization.
* Create and maintain accurate infrastructure documentation to enable both developers who use it and the SRE team members who support it.
* Provide guidance to improve the stability, security, manageability, and scalability of our streaming platform.
* Anticipate future needs for capacity and investigate new products and/or features.

Education & Experience

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

Apple's most important resource is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We're proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company's success. You'll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programs vary by country and are subject to eligibility requirements. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.

Additional Requirements

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AI/ML- Kafka and Data Production Engineer, Siri Search, Knowledge & Platform

Apple, Inc.
Seattle, WA 98104

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