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Skillet & experience required
A bachelor's or master's degree in computer science, or a related IT field.
Minimum of 2 years of experience in platform engineer or related roles.
Experience with any cloud platform such as AWS, Azure, Google Cloud.
Proficiency in cloud provisioning with IAC, preferably terraform.
Experience working with container orchestration tools, preferably Kubernetes.
Experience working with tools for Kubernetes, such as logging, monitoring, network policy, security policy.
Knowledge of application and cloud security scanning tools.
Understanding of software development practices, including Agile methodologies.
Strong scripting skills, preferably in Shell, Python, or Groovy.
Experience with version control systems such as Git.
Responsibilities
Infrastructure Automation with Terraform: Develop robust Terraform configurations for
efficient and scalable infrastructure provisioning.
Kubernetes Cluster Management: Configure, manage, and optimize Kubernetes clusters
to support containerized applications in production environments.
Kubernetes Configuration & Security: Establish and maintain logging, monitoring,
security policies, and network policies for Kubernetes, ensuring robustness and compliance.
Istio Ingress & Security Implementation: Configure and manage Istio Ingress and Mutual
TLS (MTLS) for enhanced security and seamless network management.
Troubleshooting & Enhancement: Identify, diagnose, and resolve Kubernetes-related
errors, including applications and associated tools, implementing improvements for stability.
Dev Team Support & Process Optimization: Collaborate with development teams to
automate and optimize their development processes, fostering efficiency and agility.
Active Agile Participation: Engage proactively in Agile ceremonies like sprint planning,
daily stand-ups, and sprint reviews to ensure alignment and smooth project execution.
Working Location: Sengthong Thani Tower (Near BTS Chong Nontri), Bangkok
If you require more information, please contact K.Pongpon Tel. (0)2 296-8172
Job ID: 142160037