Base Salary
$79k - $210k/yr
Responsibilities
- Design and implement high-throughput DNS data plane components for authoritative and recursive request paths.
- Build and maintain core services and libraries using Go, C, Java, and/or Python.
- Optimize CPU, memory, and network I/O through concurrency models, event loops, socket tuning, and profiling.
- Own data plane components end to end, including architecture, implementation, testing, rollout, observability, capacity planning, and operational health.
- Develop metrics, logs, tracing, SLOs, dashboards, runbooks, and on-call practices.
- Improve reliability through fault-tolerant design, graceful degradation, safe deployments, and proactive capacity planning.
- Partner with control plane, security, SRE, and operations teams on DNS platform improvements.
- Provide technical leadership through architecture reviews, code reviews, mentoring, and engineering-standard improvements.
Requirements
- At least 5 years of operations engineering experience in SaaS, cloud, or hybrid-cloud environments.
- At least 5 years managing and operating large-scale, highly distributed service infrastructure.
- At least 3 years of hands-on Linux experience.
- Strong experience building and operating production-grade distributed systems and/or network services.
- Proficiency in one or more of Go, C, Java, or Python, with the ability to work across languages.
- Strong understanding of Linux systems, TCP/UDP, sockets, concurrency, and performance profiling.
- Experience designing highly available systems and performing safe production rollouts using canaries and feature flags.
- Deep DNS knowledge, including RFCs, EDNS(0), DNSSEC, caching, zone transfers, rate limiting, and load balancing, is desirable.
- Experience with epoll/kqueue, asynchronous I/O, low-lock or lock-free data structures, packet processing, DDoS mitigation, abuse protection, and traffic engineering is desirable.
- Experience with Kubernetes, service meshes, network policies, Terraform, unit and integration testing, fuzzing, property-based testing, chaos testing, and mission-critical 24/7 services is desirable.
- Experience using AI-assisted development tools thoughtfully while maintaining engineering judgment, code quality, ownership, and security standards is desirable.
Benefits
- US hiring range is $79,200 to $209,500 per annum, with potential bonus and equity eligibility.
- Benefits include medical, dental, vision, disability, life insurance, flexible spending accounts, commuter and parking benefits, 401(k) matching, paid time off, paid holidays, paid sick leave, paid parental leave, adoption assistance, employee stock purchase plan, financial planning, group legal, and voluntary insurance benefits.
- The role generally accepts applications for at least three calendar days from the posting date or while the posting remains active.
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.