#1mkt272 AMR – Senior Platform Engineer

Job Description : 
  • Building Big Data environments in the cloud/on premise environment
  • Design and build distributed systems using automated container management technology like Kubernetes
  • Developing tools and technologies to improve the analytics platforms.
  • Develop and maintain distributed Big Data services, components, and tools
  • Resolving platform issue related to data processing and analytics issues
  • Analyze complex distributed production deployments and make recommendations to optimize performance
Requirement : 
  • At least 3–5-year experience
  • Bachelor’s degree in information technology related field of study with a network engineering focus.
  • Proficient understanding of code versioning tools like Git,Gitlab/Github
  • Experience in managing a SaaS Service platform with high uptime focused on Kubernetes management
  • Use Container platforms such as Kubernetes for large scale deployment of microservices
  • Hands-on experience with Linux/Unix OS and DevOps Tools like Jenkins, Docker, Puppet, Ansible, plus understanding of CI/CD concept
  • Experience in either OpenShift, TK8, Rancher, AKS, EKS
  • Good Programming / Scripting skills in one of the programming languages like Python, Java, C/C, Scala, Bash, Korn Shell, Golang
Optional Requirement : 
  • Very strong in Kubernetes management, Docker, Linux
  • Very strong in Observability (Prometheus/Grafana Stack)
  • Strong in python and golang
  • Strong in Terraform and Helm
  • Strong in Networking and infrastructure
  • Experience in ServiceMesh such as Istio
  • Track record in large-scale system software development
  • Strong with public cloud architecture AWS/Azure
  • Microservice awareness
  • Experience with Docker Swarm, DC/OS, Cloud Foundry, OpenStack, CloudStack, AWS, GCP or Azure
  • Ability to solve complex networking, data, and software issues.
  • Experience in design and build data processing architecture
  • Experience in build an automated and scalable data pipeline
  • Experience in design and build scalable infrastructure and platform to collect and process very large amounts of data, including streaming real-time data
  • Experienced in setting up and administering applications in cloud environments
  • Experienced in setting up and administering one or more major Hadoop distributions and various ecosystem components (e.g. HDFS, Sqoop, Impala, Spark, Flume, Kafka, Nifi, etc.)
  • Experience in NoSQL and RDBMS databases including Redis and MongoDB


Salary RangeRM8,000
LocationBangsar South, KL
Task ID#1mkt272

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