Software Developer 5

Oracle•Seattle, WA

10d•$96,800 - $306,400

About The Position

The Oracle Cloud Infrastructure (OCI) team offers the opportunity to build and operate massive-scale, integrated cloud services in a broadly distributed, multi-tenant cloud environment. OCI builds cloud products for customers who are tackling some of the world's largest technical and business challenges. Oracle Kubernetes Engine (OKE) is OCI's managed Kubernetes service. OKE enables customers to create, run, scale, secure, and operate Kubernetes clusters on OCI, integrating Kubernetes with OCI compute, networking, storage, identity, observability, security, and automation. The OKE team owns a highly available 24x7 cloud service and is expanding the platform to support larger clusters, higher scale, improved operability, deeper OCI integrations, and increasingly demanding cloud native, AI, and GPU workloads. We are looking for a senior IC5 software engineer with deep Kubernetes expertise, required cloud infrastructure experience, and a strong distributed systems background. This is a high-impact technical leadership role for an engineer who can define architecture, drive cross-team execution, solve ambiguous production and platform problems, and deliver durable systems that improve both customer experience and operational excellence. You will work on core OKE platform capabilities including cluster lifecycle management, orchestration, scalability, reliability, performance, automation, observability, security, and integration with OCI infrastructure services. The ideal candidate has hands-on experience designing, building, operating, or deeply debugging production cloud services, infrastructure platforms, or Kubernetes-based systems at meaningful scale. This role requires advanced Kubernetes experience, including Kubernetes control plane behavior, controllers and operators, scheduling, autoscaling, networking, storage, service discovery, container runtimes, node lifecycle, Kubernetes APIs, and etcd. Experience with Kubernetes networking and storage technologies such as CNI, Cilium, Calico, Flannel, other container networking implementations, CSI drivers, and cloud provider integrations is highly relevant. OKE is also expanding to support demanding AI and accelerated computing use cases. Experience with AI/ML infrastructure, multi-node GPU clusters, accelerated compute, model training or inference platforms, GPU scheduling, device plugins, Karpenter, cluster autoscaling, CUDA, NCCL, RoCE, InfiniBand, RDMA, SmartNIC/DPU offload, or high-performance AI/HPC networking is a significant plus. This role also requires an engineer who is ready to use modern agentic engineering practices responsibly. We expect senior engineers to apply AI-assisted and agentic workflows to accelerate design exploration, implementation, testing, debugging, documentation, operational analysis, and developer productivity while maintaining strong ownership, security judgment, code quality, and production accountability. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] [[email protected]] or by calling 1-888-404-2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Requirements

Deep Kubernetes expertise
Cloud infrastructure experience
Strong distributed systems background
Hands-on experience designing, building, operating, or deeply debugging production cloud services, infrastructure platforms, or Kubernetes-based systems at meaningful scale
Advanced Kubernetes experience, including Kubernetes control plane behavior, controllers and operators, scheduling, autoscaling, networking, storage, service discovery, container runtimes, node lifecycle, Kubernetes APIs, and etcd
Experience with Kubernetes networking and storage technologies such as CNI, Cilium, Calico, Flannel, other container networking implementations, CSI drivers, and cloud provider integrations

Nice To Haves

Experience with AI/ML infrastructure
Multi-node GPU clusters
Accelerated compute
Model training or inference platforms
GPU scheduling
Device plugins
Karpenter
Cluster autoscaling
CUDA
NCCL
RoCE
InfiniBand
RDMA
SmartNIC/DPU offload
High-performance AI/HPC networking

Responsibilities

Define architecture
Drive cross-team execution
Solve ambiguous production and platform problems
Deliver durable systems that improve both customer experience and operational excellence
Work on core OKE platform capabilities including cluster lifecycle management, orchestration, scalability, reliability, performance, automation, observability, security, and integration with OCI infrastructure services
Apply AI-assisted and agentic workflows to accelerate design exploration, implementation, testing, debugging, documentation, operational analysis, and developer productivity while maintaining strong ownership, security judgment, code quality, and production accountability