Cloud Engineer - Singapore - Peak Ocean
Description
17th January, 2023:
Responsibilities:
- Clous Engineer is also expected to support setting up DevOps platform for all the development activities within the team.
Key accountabilities
- Build and operate cloud infrastructure using best industry practices in coordination with IT infrastructure and network teams
- Manage and continue improving cloud product reliability, availability, maintainability & cost/benefit incl. automating scale down/up of environments
- Support data engineers / software engineers in setting up, optimizing and automating cloud engineering infrastructure (e.g. provisioning and deployment, etc)
- Manage cloud infrastructure cost and plan for the forecast of the future investment
- Build, operate and improve DevOps platform
Requirements:
Technical Skills:
- 3 + years handson experience with configuring, deploying and operating public cloud services of IAAS, PAAS and SAAS (preferably Microsoft Azure)
- Expertise in infrastructure as code (e.g. cloud formation, ARM, Terraform, Ansible, Chef, Puppet)
- Basic familiarity with network features (e.g. cloud network topology, BGP, routing, web (REST) APIs)
- Handson programming experience with Shell Scripting, Python and Scala programming
- Deep understanding and experience in cloud product availability (e.g. region, availability zone, data replication clustering)
- Experience in task automation (e.g. Azure Runbooks/Workbooks)
- Domain in Linux OS and its main distributions
DevOps Methodologies
- Domain in Azure DevOps platform (e.g. CI/CD, Pipelines, Build, Releases, Repos)
- Experience in Container technologies (e.g. Docker, Kubernetes (AKS), etc) utilizing DockerFile, YAML, etc
- Experience with Git/Git Flow (versioning)
Security
- Understanding of network architectures suitable for different cloud topologies
- Good knowledge of security implications of public & private cloud infra design
Cloud Economics
- Knowledge of consumption driven TCO on cloud (i.e. understanding of cloud provider pricing vs internal costing for various config decisions)
Education
- BA/BS degree in Computer Science, Computer Engineering, Electrical Engineering or related technical field
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