Senior DevOps Engineer

  • Competitive
  • Hong Kong Hong Kong Hong Kong HK
  • CDI, Plein-temps
  • Opus Talent Solutions
  • 23 mai 18 2018-05-23

Opus have partnered with a leading rewards business based in Hong Kong, who are now seeking an experienced DevOps Engineer to join their team.

Senior DevOps Engineer – Data Team – (Hong Kong)

Opus have partnered with a leading rewards business based in Hong Kong, who are now seeking an experienced DevOps Engineer to join their team. This is a brilliant opportunity to be part of a diverse and international team, with different backgrounds and skillsets from Infrastructure, Data Architecture, Analytics, Data Science, Visualisation, Market Research and Design.

Role Responsibilities:

The key responsibilities of this opportunity are to manage the companies’ hybrid data infrastructure (e.g. Hadoop/Spark, AWS) and ensure that it is suitable for requirements on performance, automation, security, availability & data integrity. In addition to working alongside Data Scientists in the performance of typical data engineering

Required Technical Experience:

-Continuous Integration and Continuous Deployment pipeline (e.g. Openshift, Jenkins, Docker, Kubernetes, Container)

-Proficient in AWS cloud (or similar public Cloud provider) with deep familiarity with its analytics and data services (e.g. EMR, Redshift, Kinesis, Lambda, etc.)

-Proficient in the practice of infrastructure-as-code and use of DevOps tools (e.g. Ansible, CloudFormation, Chef, Puppet, Terraform)

-Proficient in at least two programming languages – one of which is compiled (i.e. Scala, Java, C/C++) and the other, dynamic (i.e. Python (preferred), Ruby, Perl)

-Working knowledge of software development best practices such as Agile and TDD

-Advanced usage of the Linux OS and its command line

-Experience in both SQL and NoSQL databases (i.e. Oracle, PostgreSQL; MongoDB, Redis, Cassandra)

-Migration from on-premise to Cloud experience is a good to have

-Fluency in English is a must

 Senior DevOps Engineer – Data Team – (Hong Kong)