Japanese Bilingual Senior Applications Support Analyst

Job Description

We are currently seeking Japanese and English Bilingual Senior Applications Support Analyst for an IT Consulting company in Austin, TX area! The ideal candidate will have more than 3 years of work experience as a software developer or a combination of developer + big data engineer.

Position: Senior Application Support Analyst

Industry: Information Technology

Location: Austin, TX Area (Relocation Support is Possible)

Languages: Japanese and English a MUST

Pay: $80k - $100k (Depending on your experience)

Status: Full Time + Excellent Benefits

Duties

• Provide support to clients with Cloud Platform products, solutions and APIs including Big Data and related services.
• Identify and document product bugs and feature requests, and work with internal teams and clients to implement effective solutions.
• Work closely with internal support teams to improve cloud products..
• Provide technical support as part of a global 24x7-support organization.
• Work closely with engineers and product managers to improve the product.
• Issue change requests and incident ticket handling for the remaining Infrastructure teams.
• Provide developer support to customers using Cloud Platform products, solutions and APIs.
• Catch up with notification and escalation procedures.
• Respect standards for communications with business involving operational issues.
• Other duties as assigned.
  

Qualifications

• Bachelor's degree in a related field is strongly preferred.
• Japanese and English language proficiency at the business level is a MUST
• Must be authorized to work in the US. (OPT OK).
• Experience or ability to develop programming languages of Java, C++, C#, Scala, and/or Python and scripting languages of Python, PHP, and/or R.
• Ability to understand code and write code to reproduce clients' problems.
• Strong research, analytical and problem-solving skills required to work with petabyte or even exabytes of data.
• Familiar with web protocols of HTTP and TLS/SSL.
• Knowledge in SQL.
• Experience in Big Data architectures and Business Intelligence solutions.
• Experience in distributed computing frameworks such as Hadoop and Spark.
• Experience in distributed data stores such as HBase, Google Bigtable, and Amazon Dynamo DB.
• Experience in distributed message brokers such as Kafka, Google Pub/Sub and Amazon Kinesis.