Google Cloud Platform (GCP) – DevOps Engineer Hà Nội HCM
HCL Vietnam Company Limited
Ho Chi Minh City, VN
12 giờ trước
source : Glints


Our Customer is one of the leading Australian banks in the Asia-Pacific region. In recent years, the customer was investing in digital-led business transformation to continue to stay ahead of the competition and also meet emerging customer needs.

With the rapid pace of innovation in the financial services sector, legacy infrastructure and traditional operating models were acting as growth inhibitors and threatened the customer’s competitive advantage in the marketplace.

The customer was looking for a digital transformation to respond quickly to changing market conditions while being resilient and scalable.

Among technology initiatives, Cloud and Big Data Analytics are two key strategies that our customers focus on.

HCL Technologies, as the leader in Cloud & Digital Analytics services, are proud to be the key technology partner for our customer in this digital transformation journey.

Joining us, you are the ones who create this innovative journey, you will have chance to learn & work with latest cloud and data analytics technologies.


As a GCP Cloud DevOps Engineer, you will be responsible for building and running the Google cloud platform for one of Australia's largest financial institutions :

  • Build and manage the GCP platform to enable application deployments
  • Engineer solutions on GCP platform using Infrastructure as Code methods
  • Integrate, configure, deploy, manage and monitor centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)
  • Ensure compliance with centrally defined Security
  • Ensure compliancy with Operational risk standards (E.g. Network, Firewall, OS, Logging, Monitoring, Availability, Resiliency)
  • Build and support continuous integration (CI), continuous delivery (CD) and continuous testing activities
  • Engineering activities to implement patches provided centrally
  • Must requirements :

  • At least 3 years of experience in Cloud Platform (GCP, or AWS, or Azure)
  • Experience in Architecture Designing IaaS (Virtual Machines), PaaS(App Service, App Engine)
  • Good at Jira, Jenkins CI / CD pipeline creation and Container repository
  • Programming experience in one or more of the following : Python, Java, JavaScript, Go, NodeJS, C#
  • Experience in Kubernetes on Cloud (Containerization basics, Control-plane components of Kubernetes, Deployments, Jobs, and Scaling Persistent Data and Storage)
  • Experience with database design and querying (e.g. SQL, MySQL, Hadoop)
  • Strong Engineering mindset to automate tasks, identify use cases, test cases, improve the system, PR / Incident resolution, deployment & support, etc,
  • Relative experience in Infrastructure as a Code (IaaC) (i.e., Terraform, Cloud Formation, Azure ARM Templates)
  • Experience in Identity and Access (Cloud IAM)
  • Experience in Docker / K8's / Istio
  • Good to Have :

  • Experience in Networking : Cloud VPC, Cloud CDN and Cloud Load balancing
  • Knowledge or Experience in Bamboo or UDeploy
  • Good at Terraform
  • Cloud SQL / No SQL / Big Query knowledge
  • ETL experience using DataFow / AirFlow .
  • Automation Experience using Robot framework or any other related framework
  • Big Data - Hadoop - Architecture in general, Cloudera - Architecture and usage
  • Hadoop - MapReduce, HortonWorks, Cloudera comparison and feasibility
  • Spark, Hive, Hbase etc. general architecture and comparison
  • Knowledge or Experience in Ansible
  • Knowledge or Experience in Json
  • Knowledge or Experience Google SRE handbook

  • Attractive package including base salary + 13th month salary + Performance Bonus
  • Insurance based on full base salary
  • Meal allowance 730,000 / month
  • 100% of full salary and benefits as an official employee from the 1st day of working
  • Medical Benefit (Bao Viet Insurance Package) for Employee and Family
  • Working in a fast paced, flexible, and multinational working environment with opportunity to travel onsite (in 49 countries)
  • Internal Training (Technical & Functional & English)
  • Working time : 8 : 30 am-6 : 00 pm from Mondays to Fridays
  • Candidate Data Privacy Notice

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