Allgemeine Angaben

Ref Number

Req_00083472

Bewerbungsfrist

30-Nov-2022

Standort

Google GOVO-Philippines

Land

Philippinen

Job Kategorien

Digital Solutions

Work Style

Hybrid

Jobbeschreibung

Preferred Qualifications:
  • Experience in technical support: familiarity with case prioritization, SLA compliance, and quality
  • Experience with the popular technologies in the machine learning/big data ecosystem
  • Experience with any ML library (scikit-learn, pytorch, tensorflow, Spark mllib) or basic understanding of ML concepts
  • Experience with PaaS, and IaaS technologies
  • Java or Objective C is a plus

Zusätzliche Stellenbeschreibung

Responsibilities:
  • Provide technical and developer support to customers using Cloud Platform products, solutions and APIs
  • Identify and document product bugs and feature requests and work with internal support teams and customers to implement effective solutions
  • Ability to reproduce customer issues in order to efficiently provide a holistic fix
  • Work closely with internal support teams to improve Cloud Platform products at a senior level
  • Provide assistance and guidance to users through public forums
  • Required Knowledge:
  • Ability to read and understand code, able to write code to reproduce customer problems
  • Strong research, analytical and problem solving skills required to work with petabyte or even exabytes of data
  • Familiar with web protocols (HTTP, TLS/SSL, etc.)
  • Firm understanding of programming (Java, C++, C#, Scala, Python, etc.) and scripting languages (Python/PHP/R)
  • Background in SQL
  • Experience with Big Data architectures and technologies (more than 1TB of data) and BI solutions
  • Ability to read and understand public facing docs (developer's website or stackoverflow)
  • Ability to read and understand logs and stack traces
  • Familiarity with modern API technologies (OAuth, HTTP RPCs)
  • Experience with distributed computing frameworks (e.g. Hadoop, Spark, Flink, Storm, Samza, Beam, Big Query, etc.)
  • Experience with distributed data stores (HBase, Cassandra, Riak, Bigtable, Amazon Dynamo DB, etc.) and/or distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Pub/Sub, Amazon Kinesis, etc.)
  • Familiarity with parallel/distributed computing (NoSQL, MapReduce, Hadoop, Spark, etc.)
  • Experience in deploying and managing distributed systems and clusters
  • A strong sense of business ownership and customer focus
  • Must have advanced Oral and Written English language and communication skills