Oracle-posted 3 months ago
Nashville, TN
5,001-10,000 employees

Oracle Cloud Infrastructure (OCI) combines the elasticity and utility of public cloud with the granular control, security, and predictability of on-premises infrastructure to deliver high-performance, high availability, and cost-effective infrastructure services. Multiple compute options provide the flexibility to run the most demanding workloads and less compute-intensive applications in a secure and highly available cloud environment. Customers can self-service provision virtual machines alongside bare metal servers and clusters on the same virtual cloud networks through a unified web console, APIs, CLI, or via industry-standard tools such as Terraform and Chef. OCI's approach gives the customer choices for storage, such as industry-leading local NVME storage or elastic network block storage. The Oracle Kubernetes Engine (OKE) builds the OCI service that runs our managed Kubernetes experience. It is used by various internal and external customers, and we're actively adding features—from Kubernetes to deeper integrations with OCI and to better allow cluster management. The team operates a 24x7 service at scale. We have a large roadmap of features to enable scenarios for new customers coming on board in the coming quarters.

  • Design and build innovative new systems from the ground up.
  • Write distributed, highly available systems to build, update, and deploy Kubernetes.
  • Develop automation and tooling for testing, deployments, and other needs.
  • BS degree in Computer Science or related technical field involving coding or equivalent practical experience.
  • 5+ years of experience delivering and operating large-scale, highly available distributed systems.
  • 5+ years working in large Java or Golang codebases.
  • Previous On Call experience.
  • Strong knowledge of data structures, algorithms, operating systems, and distributed systems.
  • Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
  • Developing or managing containerized workloads using Kubernetes.
  • Overlay networking and container networking on Linux.
  • System and service management on Linux.
  • Experience with scripting languages such as Python, etc.
  • Experience building multi-tenant, virtualized infrastructure.
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