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Job Details

ID #20168680
State California
City Cupertino
Job type Permanent
Salary USD TBD TBD
Source Pinnacle Group
Showed 2021-09-24
Date 2021-09-23
Deadline 2021-11-21
Category Systems/networking
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Kubernetes SRE Engineer - 100% Remote

California, Cupertino, 95014 Cupertino USA

Vacancy expired!

Systems Engineer IV

Data Infrastructure team within the Siri organization powers analytics, experimentation and ML feature engineering to power Siri we all love in our devices. The mission of the Data Infrastructure org is to provide our engineers and data scientists a cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting with data and ultimately help the teams that build data intensive applications be successful. You will work with many cross functional teams and lead the planning, execution and success of technical projects with the ultimate purpose of improving Siri experience for customers. We are looking for engineers who want to bring their passion for infrastructure to build world class infrastructure products You will be responsible for the stream processing platform used for analytics and machine learning of worldwide Siri and Search 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 Stream Processing Team, your responsibilities include:
  • Manage one of the 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 realtime data processing infrastructure and push our services to the next level
  • Harden and launch new data models and data pipelines in production
  • Establish SLA's for all data sets and applications running in production
  • Advise other teams (within and outside of Siri) on proper integration of our platform
  • Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs
  • Manage the infrastructure which powers ETL, Analytics, and Privacy Efforts within AIML

Key Qualifications
  • Passionate about Data Processing Technologies
  • Experience scaling, configuring and troubleshooting data and services infrastructure on

    Kubernetes
  • Experience setting up and managing public cloud infrastructure on

    AWS (EKS, S3, IAM, etc)
  • Experience configuring and troubleshooting data processing frameworks (

    Flink, Spark Streaming, Samza, Kafka Streams or Storm)
  • Experience with alerting, monitoring and remediation automation in a large scale distributed environment
  • Experience in configuration management (Puppet, Chef, or Ansible)
  • Extensive programming experience in Scala, Java, Python or Go
  • Experience building, tuning and troubleshooting stateful stream processing applications

Education BS, MS, or PhD degree in Computer Science or equivalent and 5+ years experience in data technologies

Vacancy expired!

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