Responsibilities
- Design and implement authoritative and recursive DNS data-plane components for low-latency, high-throughput processing.
- Build services and libraries in Go, C, Java, or Python and optimize CPU, memory, network I/O, concurrency, event loops, sockets, and performance.
- Own components end to end through architecture, implementation, testing, rollout, observability, capacity planning, and production operations.
- Develop metrics, logs, traces, SLOs, dashboards, alerts, and on-call playbooks.
- Improve reliability through fault-tolerant design, graceful degradation, safe deployments, and proactive capacity planning.
- Collaborate with control plane, security, SRE, and operations teams on DNS platform improvements.
- Provide technical leadership through architecture reviews, code reviews, mentorship, and engineering-standard improvements.
- Drive performance, reliability, security, and operational improvements for mission-critical production services.
Requirements
- Requires 5-8+ years of experience building, managing, or operating large-scale distributed infrastructure in SaaS, cloud, or hybrid-cloud environments.
- Requires 3+ years of hands-on Linux experience and strong experience with production-grade distributed systems or network services.
- Requires proficiency in one or more of Go, C, Java, or Python and knowledge of Linux systems, networking, TCP/UDP, sockets, concurrency, and performance profiling.
- Requires experience designing highly available systems and delivering safe production rollouts using canaries, progressive deployments, or feature flags.
- Requires strong ownership, technical judgment, and ability to resolve complex problems.
- Minimum qualifications allow 8 years of software development experience, or a relevant bachelor's degree plus 4 years, master's degree plus 2 years, or a doctorate.
- Requires 2 years of professional cloud-platform experience, 3 years of system-level testing and automation, and 2 years working with large-scale distributed systems.
- Requires knowledge or ability in distributed systems, prototyping, computer science programming, software engineering, web development, vulnerability mitigation, operating systems, API development and integration, algorithms, and source control.
- Preferred qualifications include deep DNS knowledge, high-performance systems patterns, DDoS mitigation, traffic engineering, Kubernetes, Terraform, comprehensive testing, 24/7 service operations, and AI-assisted development tools.
- Preferred qualifications also include the listed software-development education and experience alternatives and cloud-platform experience.
Benefits
- Competitive benefits including flexible medical, life insurance, and retirement options.
- Volunteer programs supporting employee community involvement.
- Equal employment opportunity and disability accommodation support.
- The posting does not state a work arrangement, contract duration, or compensation.
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.