Software Developer 5

About the role

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.

Responsibilities

• Provide technical leadership for major OKE platform initiatives from architecture through implementation, launch, and production operation.
• Design and build distributed systems that create, update, scale, repair, and operate Kubernetes clusters across OCI regions.
• Improve OKE reliability, scalability, performance, upgrade safety, lifecycle management, observability, automation, and operational tooling.
• Work deeply with Kubernetes technologies, including control plane components, controllers/operators, scheduling, autoscaling, Kubernetes APIs, container runtimes, node behavior, and etcd.
• Design, debug, and improve Kubernetes networking and storage integrations, including CNI-based networking, Cilium, Calico, Flannel, other container networking implementations, CSI drivers, and OCI infrastructure integrations.
• Build automation for cluster validation, health checks, readiness testing, failure detection, remote recovery, and reduction of post-deployment operational issues.
• Lead technical design reviews, code reviews, incident reviews, and production readiness reviews for complex service changes.
• Debug difficult production issues across service boundaries, including Kubernetes, Linux, networking, compute, storage, identity, telemetry, and OCI infrastructure dependencies.
• Apply performance engineering practices including profiling, tracing, latency analysis, throughput optimization, and production diagnostics across distributed systems.
• Build automation that reduces manual operations, improves fleet health, accelerates diagnosis, and raises the quality bar for OKE engineering.
• Partner with OCI service teams to deliver end-to-end platform capabilities regardless of organizational boundaries.
• Apply AI-assisted and agentic engineering workflows to improve engineering velocity, test coverage, debugging, operational analysis, and documentation while ensuring correctness, security, and maintainability.
• Mentor engineers, influence technical direction, and help establish patterns that scale across the OKE organization.
• Participate in operating a 24x7 cloud service and use customer feedback, production data, and operational experience to prioritize improvements.

Requirements

• 10+ years of software engineering experience, or equivalent experience building and operating production software systems.
• Hands-on cloud infrastructure experience is required, ideally designing, building, operating, or debugging production services or platforms on OCI, AWS, Azure, GCP, or a large-scale private cloud.
• Strong hands-on Kubernetes expertise is required, including Kubernetes architecture, APIs, control plane behavior, controllers/operators, scheduling, autoscaling, networking, storage, nodes, cluster lifecycle management, or production cluster operations.
• Advanced Kubernetes knowledge, including CNI, CSI, etcd, service discovery, container runtimes, node lifecycle, and Kubernetes failure modes.
• Experience with Kubernetes networking technologies such as Cilium, Calico, Flannel, or other CNI implementations.
• Experience with Kubernetes storage integrations, including CSI drivers or cloud storage integrations.
• Strong distributed systems fundamentals, including availability, failure handling, performance, scalability, and operational tradeoffs.
• Experience building highly available infrastructure services, platform services, or cloud native systems used in production.
• Strong development experience in both Go/Golang and Java is required.
• Strong Linux, networking, debugging, and production operations skills.
• Demonstrated ability to lead ambiguous technical projects, influence across teams, and deliver through other engineers without relying on formal authority.
• Strong communication skills, ownership, judgment, and ability to make pragmatic tradeoffs in production systems.

Preferred qualifications

• Experience with AI/ML infrastructure, GPU workloads, multi-node GPU clusters, accelerated compute, model training or inference platforms, GPU scheduling, device plugins, Karpenter, cluster autoscaling, CUDA, NCCL, high-performance networking, or distributed training systems.
• Experience with eBPF-based networking, Kubernetes network policy, service mesh, ingress, load balancing, overlays/underlays, BGP, VXLAN, SmartNIC/DPU offload, RoCE, InfiniBand, RDMA, or multi-cluster networking.
• Experience with infrastructure as code and cloud provisioning tools such as Terraform, Packer, cloud-init, IAM, VCN/VPC networking, VPN, FastConnect/Direct Connect, or equivalent cloud primitives.
• Experience building developer productivity, operational automation, or responsible AI-assisted and agentic engineering workflows.
• Experience with observability systems, incident response, safe deployment practices, canary analysis, rollback strategies, service health automation, and large fleet operations.
• Open-source or upstream contribution experience in Kubernetes, cloud native infrastructure, observability, networking, or related systems.