Join our team Google Cloud technology is an industry leader in empowering millions of organizations and businesses to lead, innovate and grow. If you are interested in working with this leading edge technology while providing best in class technical customer support, consider this great opportunity.
Here’s the impact you’ll make and what we’ll accomplish together As a Big Data Applications Support Specialist within the Google Cloud team, your role will be to provide excellent technical customer service support for Google Cloud Platform products and solutions including Big Data related applications. Working in a blended call center environment, you will provide real time technical assistance over the phone and via online communications based on client requirements as part of a global 24x7 support organization. This role will also work closely with engineers and product managers to improve the product and make our customers successful.
Provide technical and developer support to customers using Google 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
Reproduce customer issues in order to efficiently provide a holistic fix
Work closely with internal support teams to improve Google Cloud Platform products at a senior level
Provide assistance and guidance to users through public forums (third party and Google-owned)
You’re the missing piece of the puzzle
Firm understanding of a programming language (Java Python preferred)
Demonstrate comprehensive troubleshooting tactics
Ability to quickly learn and explain new complex technologies and subjects.
Resourcefulness and strong research skills
Significant abilities in reading, understanding and writing code samples to replicate customer issues, as well as reading and understanding logs and stack traces
Must have proficient Oral and Written English language and good communication skills.
Familiar with the Network Protocol Stack (TCP, IP, HTTP(S), etc.)
Familiar with terms and concepts used in Computer Science (API, schema, data structures, prototyping, natural language processing, etc.)
Experience with PaaS, SaaS, and IaaS technologies
Experience in technical support: familiarity with case prioritization, SLA compliance, and quality
Experience in deploying and managing distributed systems and clusters (Kubernetes)
Familiarity with modern API technologies (OAuth, HTTP RPCs, REST, HTTP response codes)
Strong Knowledge of SQL (any dialect)
Customer Service Experience
College diploma in Computer Science or 2 years equivalent knowledge / experience
Firm understanding of specific programming languages: Java, Python, Node.js, Go
Experience with distributed data stores (HBase, Cassandra, Riak, Amazon Dynamo DB, etc.) and distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.)
Familiarity with parallel/distributed computing (Apache Beam, MapReduce, Hadoop, Spark, Google Dataflow, Google Dataproc, etc.)
Experience with Big Data architectures and technologies (Google Data Fusion, CDAP, Google Dataprep, Trifacta, Google BigQuery, Google Composer, Apache Airflow, etc.)
Experience with any ML library (scikit-learn, pytorch, tensorflow, Spark mllib) or basic understanding of training, testing, and evaluating ML models.