Cloud Infrastructure Lead

As the Deployment Engineer for Thought Machine Vault, your main responsibility will be managing the deployment, configuration, and maintenance of the Thought Machine Vault core banking platform in both production and non-production environments. Your key responsibilities will include: - Deploying, configuring, and managing Thought Machine Vault environments on AWS. - Ensuring optimal performance and stability of both production and non-production Vault environments. - Managing infrastructure provisioning and optimization activities on the AWS cloud platform. - Deploying and managing Vault workloads within Kubernetes environments. - Monitoring system health, logs, and performance using Splunk, Dynatrace, and Grafana for proactive issue resolution. To excel in this role, you should possess the following qualifications: - 5+ years of overall IT experience with a focus on Cloud/Infrastructure Engineering. - Hands-on experience with the Thought Machine Vault platform. - Proficiency in AWS and Cloud Computing principles. - Experience in deploying and managing Microservices in Kubernetes. - Strong monitoring skills using Splunk, Dynatrace, and Grafana. - Experience in infrastructure management and provisioning. This position offers you the opportunity to work with cutting-edge technology in a dynamic and fast-paced environment. As the Deployment Engineer for Thought Machine Vault, your main responsibility will be managing the deployment, configuration, and maintenance of the Thought Machine Vault core banking platform in both production and non-production environments. Your key responsibilities will include: - Deploying, configuring, and managing Thought Machine Vault environments on AWS. - Ensuring optimal performance and stability of both production and non-production Vault environments. - Managing infrastructure provisioning and optimization activities on the AWS cloud platform. - Deploying and managing Vault workloads within Kubernetes environments. - Monitoring system health, logs, and performance using Splunk, Dynatrace, and Grafana for proactive issue resolution. To excel in this role, you should possess the following qualifications: - 5+ years of overall IT experience with a focus on Cloud/Infrastructure Engineering. - Hands-on experience with the Thought Machine Vault platform. - Proficiency in AWS and Cloud Computing principles. - Experience in deploying and managing Microservices in Kubernetes. - Strong monitoring skills using Splunk, Dynatrace, and Grafana. - Experience in infrastructure management and provisioning. This position offers you the opportunity to work with cutting-edge technology in a dynamic and fast-paced environment.