Department Description

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.

Position Overview

We’re looking for hands-on engineers with expertise and passion for solving difficult problems in distributed systems, virtualized infrastructure, and highly available services. If this is you, at Oracle, you can design and build innovative new systems from the ground up. These are exciting times in our space—we are growing fast, still at an early stage, and working on ambitious new initiatives. An engineer at any level can have a significant technical and business impact.
The ideal software engineer candidate for this team is a proficient programmer with a wide breadth of knowledge and experience, including areas such as networking, storage, internet protocols, and operating systems. We write distributed, highly available systems to build, update, and deploy Kubernetes, plus automation and tooling for testing, deployments, and other needs.

Qualifications

BS degree in Computer Science or related technical field involving coding or equivalent practical experience. Five or more years of experience delivering and operating large-scale, highly available distributed systems. History of working in large Java or Golang codebases and experience with scripting languages such as Python, Perl, etc. Strong knowledge of data structures, algorithms, operating systems, and distributed systems. Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive. Experience building multi-tenant, virtualized infrastructure. Experience in developing or managing containerized workloads using Kubernetes along with one of the following two areas will be considered a strong plus: Overlay networking and container networking. GPU AI/ML workloads and RDMA Clusters.

Career Level - IC3