Base Salary
$115k - $235k/yr
Responsibilities
- Lead the architecture and delivery of cloud-scale backend services for OCI’s WAF, API Security, and application protection capabilities.
- Design policy management, rule evaluation, threat detection, bot mitigation, traffic inspection, and security analytics platforms.
- Build highly available distributed systems that process large volumes of HTTP/HTTPS traffic with low latency.
- Drive technical strategy in partnership with security, product, edge infrastructure, and platform teams.
- Establish operational excellence through SLOs/SLAs, incident response, runbooks, root cause analysis, and continuous improvement.
- Lead CI/CD, testing, deployment automation, Infrastructure-as-Code, and developer productivity initiatives.
- Establish observability through metrics, logging, tracing, dashboards, alerting, and performance monitoring.
- Mentor engineers and provide architectural leadership through design reviews and technical strategy.
Requirements
- 7–10+ years of experience building production software systems, including large-scale distributed services in cloud or SaaS environments.
- Strong proficiency in one or more of Java, Go, Python, C++, or Rust.
- Deep expertise in distributed-systems design, scalability, resiliency, concurrency, fault tolerance, service communication, and API design.
- Strong understanding of HTTP/HTTPS, REST APIs, TLS, reverse proxies, caching, load balancing, and web application architectures.
- Experience building customer-facing platform services with demanding availability, performance, and operational requirements.
- Experience with containers, Kubernetes, CI/CD pipelines, Infrastructure-as-Code, and automated testing frameworks.
- Strong software engineering fundamentals, including design patterns, performance optimization, code quality, and secure software development.
- Experience building observability solutions with metrics, distributed tracing, centralized logging, dashboards, and alerting.
- Demonstrated ability to lead complex technical initiatives and influence architecture across multiple engineering teams.
- Preferred experience with WAF, API Security, Bot Management, CDN, Edge Computing, rule engines, threat detection, traffic inspection, analytics pipelines, globally distributed services, Zero Trust, identity and access management, compliance, or security tooling.
- Excellent communication and collaboration skills across engineering, security, product, and operations organizations.
Benefits
- Oracle offers medical, dental, and vision insurance; disability and life insurance; flexible spending accounts; commuter and parking benefits; a 401(k) plan with company match; paid vacation, 11 paid holidays, paid sick leave, paid parental leave, and adoption assistance.
- Additional benefits include an Employee Stock Purchase Plan, financial planning, group legal services, and voluntary auto, homeowner, and pet insurance.
- The role is a U.S.-based salaried position with applications generally accepted for at least three calendar days or while the posting remains open.
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.