Responsibilities
- Design, build, and maintain Linux hypervisor and guest operating-system images for containerized workloads.
- Develop automated image creation, customization, validation, publishing, staged rollout, monitoring, and rollback processes.
- Customize Linux across kernel-facing, systemd, networking, storage, security, package-management, and boot layers.
- Build lifecycle-management and platform components using Java, Go, and shell scripting.
- Integrate and troubleshoot container runtimes, OCI container behavior, QEMU/KVM virtualization, and paravirtualized devices.
- Improve performance, boot time, reliability, resource utilization, isolation, and scalability across virtualized Linux environments.
- Build CI/CD and image-release pipelines supporting vulnerability remediation, security validation, canary deployment, compatibility checks, and release evidence.
- Integrate the data plane with OCI networking, storage, identity, telemetry, and infrastructure lifecycle services.
- Automate infrastructure provisioning and validation with Terraform and other Infrastructure as Code practices.
- Coordinate releases across hypervisor fleets and global regions, participate in on-call and incident response, and improve monitoring and reliability.
- Create design documents, operational procedures, troubleshooting guides, and architectural decisions while mentoring engineers and providing technical leadership.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent practical experience.
- Approximately 6+ years of relevant production software or systems-engineering experience, or demonstrably equivalent IC4-level scope.
- Strong production programming experience with Java 17 or later.
- Hands-on Linux systems engineering and kernel-level debugging, including processes, services, namespaces, cgroups, systemd, networking, storage, and operating-system behavior.
- Deep container-engineering experience involving container images, runtimes, or isolation concepts such as Docker, OCI containers, containerd, runc, or CRI-O.
- Strong Bash or shell scripting and low-level troubleshooting skills.
- Strong fundamentals in data structures, algorithms, operating systems, networking, distributed systems, testing, and software design.
- Production experience with at least one public cloud and highly available services, including monitoring, incident response, and on-call participation.
- Experience with automated testing, CI/CD, release automation, and Infrastructure as Code; Terraform experience is expected.
- Preferred qualifications include Java 25, JVM internals, QEMU/KVM, Go or Rust, C, kernel development, Linux image and package technologies, advanced cgroup and performance analysis, Linux networking, storage and security, debugging and profiling tools, ARM/aarch64 and x86 pipelines, and OCI services and APIs.
Benefits
- Oracle offers competitive benefits including flexible medical, life insurance, and retirement options.
- Employees can participate in volunteer programs supporting their communities.
- The employer provides accessibility assistance and reasonable accommodations throughout the employment process.
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.