Base Salary
$115k - $235k/yr
Responsibilities
- Lead development and begin architecting scalable, elastic distributed systems for hyper-scale workloads.
- Define scalability, correctness, availability, durability, and service-level requirements for owned components.
- Design fault-tolerant, in-service-upgradable systems using redundancy, replication, failover, load-shedding, throttling, and rate-limiting.
- Optimize systems and data paths for large-scale retrieval, storage, processing, and high throughput.
- Design performance, load, fault-injection, brownout, replication, and synchronization testing.
- Establish KPIs, telemetry, dashboards, and alerting to monitor system health and performance.
- Diagnose and resolve production and performance issues, support incident response, and conduct root-cause investigations.
- Implement security controls, execute remediation plans, and maintain cloud compliance documentation.
- Develop infrastructure-as-code and automation for safe patching, updating, and rollback workflows.
- Mentor engineers, conduct design and code reviews, coordinate moderately complex initiatives, and participate in candidate interviews.
Requirements
- BS or MS in Computer Science, or equivalent practical experience.
- 6–10+ years of software engineering experience building highly available, scalable distributed systems or cloud infrastructure.
- Strong programming skills in Java, Go, Rust, C, C++, or a similar systems or backend language.
- Deep experience in infrastructure areas such as distributed systems, cloud control planes, management planes, scheduling, virtualization, storage, networking, security, reliability, or platform automation.
- Ability to independently lead design and delivery of complex, resilient, observable, and operable services.
- Strong understanding of failure handling, concurrency, asynchronous workflows, safe retries, and lifecycle management in distributed systems.
- Strong debugging and problem-solving skills for complex production and performance issues.
- Experience collaborating across teams and translating broad platform goals into clear designs and executable plans.
- Ability to provide technical leadership through mentoring, design reviews, code reviews, and hands-on engineering.
- Experience with operational readiness, incident support, security remediation, compliance, and infrastructure automation is relevant to the role.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short-term and long-term disability coverage.
- Life insurance, AD&D, and supplemental life insurance for employees and eligible family members.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) savings and investment plan with company match.
- Paid vacation, 11 paid holidays, and paid sick leave.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning, group legal, and voluntary auto, homeowner, and pet 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.