Senior Cloud Engineer, On-Premise
Datature
Software Engineering
Posted 6+ months ago
🇸🇬
Senior Cloud Engineer, On-Premise
The Role
As a key member of our team, you will play a critical role in designing, implementing, and maintaining highly secure and reliable cloud-based systems tailored for government and military users with air-gapped requirements. Your expertise in Python, Terraform, and other Infrastructure as Code (IaC) tools will be instrumental in managing cloud environments across multiple platforms, including AWS, GCP, and Azure.
Having an in-depth understanding of advanced cloud technologies such as PubSub, various Cloud Storage Models, Cloud APIs, VPC, IAM, and other relevant services will be essential for successfully executing your responsibilities. Your expertise will extend to collaborating closely with machine learning teams to support ML workflows, leveraging your knowledge of GPU programming, CUDA, OpenMP, and parallel computing paradigms.
Moreover, as we cater to the unique needs of government and military users with air-gapped environments, you will actively collaborate with product teams to establish specific requirements and Service Level Objectives (SLOs) for deploying software securely and seamlessly.
Finally, you have experience in performing both on-premise and VPC-based deployments in the SaaS space.
Your Responsibilities
Manage cloud environments across AWS, GCP, Azure, and EKS using Python, Terraform, and IaC tools
Utilize expertise in cloud technologies (PubSub, Cloud Storage Models, Cloud APIs, VPC, IAM, Kubernetes) to meet government and military security and reliability standards.
Collaborate with machine learning teams, supporting ML workflows with GPU programming, CUDA, and parallel computing
Maintain the availability of cloud and physical Linux servers in air-gapped production environments, ensuring uninterrupted operation and security
Integrate Google Cloud services with our core cloud management systems, utilizing Terraform templates and developing or modifying scripts that integrate with 1st party and 3rd party operational and observability tools
Collaborate closely with product teams to understand requirements and define Service Level Objectives (SLOs) for deploying software into air-gapped environments
Requirements
Bachelor's degree in Computer Science, Engineering, or related field with 5+ years of relevant professional work experience.
Proven experience with Google Cloud, AWS, and Terraform, with a track record of successful cloud or on-premise application deployments.
Solid understanding of Kubernetes, Ansible, and Docker technology: production experience in creating and administrating Kubernetes-based systems.
Experience with microservices, API design (REST and gRPC), and cloud-native application development.
Solid experience in managing and maintaining Linux servers in production environments.
Experience with Kubernetes cross-cluster federation, Kubernetes API, Operator, and Custom Resource Definition (CRD) Development.
Experience with containers (Docker) and orchestration (OpenShift/Kubernetes) behind air-gapped, secure facilities is a plus.
Singaporeans and Singapore PR Preferred Due To Security Clearances
Why You'll Love Us 🎈
We are a technology-first team dedicated to developing the most intuitive and performant platform to shape the way users think about building machine learning capabilities. We are a quirky group of engineers, serious about shaping the future of machine learning adoption.
You will have the largest impact on how users in both present and future interact with the sheer amount of complexity
Join us and solve tough problems - there's so much left to build.