Canopy
M800 (HK)

M800 (HK) - DevOps Engineer

Mid Level
Hong Kong
DevOps Engineer
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About Us

M800 Group is a leading global CPaaS provider recognized for offering carrier-grade communication solutions for enterprise and carriers.  With over 35 years of experience developing industry-leading solutions in the telecommunication, mobiles, and software industry, M800 Group is now pioneering the global telecommunication and IT convergence space by connecting to more than 300 global carriers and supporting over 600 large enterprise customers including blue-chip and fortune 500 companies through M800 communication platform. M800 aims to launch an IPO within two years on the New York Stock Exchange (NYSE).

Who we're looking for

We are looking for a DevOps Engineer to join our team at M800!

What you will be doing
  • Manage build/release of all Dev, Test, Production environment
  • Work closely with software developers to deploy and operate our systems
  • Help automate and streamline our operations and software delivery processes
  • Maintain the configuration, discover conflicts, document the process and manage the schedule of releases for each environment
  • Build and maintain tools for deployment, monitoring and operations
Who you are

Requirements:

  • 5 Years+ experience in Infrastructure and Operations domains.
  • Experience with Linux systems, RHEL/CentOS preferred
  • Experience with GIT is a must
  • Experience with one of system automation tools. Chef/Puppet/SaltStack/Ansible
  • Experience with at least one programming languages, preferably Python, Java, Golang, Javascript
  • Dependable and good team player
  • Desire to learn and work with new technologies
  • Automation in your blood
  • Fluent in English is a must

Nice to have:

  • Experience with build tools (Gradle, Maven) and build systems (Jenkins, Hudson)
  • Experience with test automation framework
  • Knowledge on Docker, Kubernetes, Terraform
  • Experience working with Cloud - AWS, Google Cloud, OpenShift, Pivotal CF
  • Background/experience working with Big Data, Data Science or Analytics
What we offer
  • Attractive remuneration
  • 5-day work week
  • Medical and other fringe benefits

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19/F, 20/F & 21/F, Tower 1 Enterprise Square, 9 Sheung Yuet Road
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