Base Salary
$105k - $235k/yr
Responsibilities
- Lead architecture, design, and development of OCI Log Analytics query-language features, including parsing, planning, optimization, and distributed execution.
- Build scalable systems for machine-learning and advanced analytics across terabytes of data while meeting latency, availability, and cost-efficiency goals.
- Develop AI agents and agentic workflows that translate user intent into queries, investigate operational issues, and surface actionable insights.
- Architect secure, resilient, multi-tenant cloud services with fault tolerance, replication, throttling, load shedding, and automated recovery.
- Identify and resolve performance bottlenecks across query execution, indexing, storage, retrieval, and analytics pipelines.
- Define performance, scalability, correctness, availability, and reliability requirements.
- Create load, stress, fault-injection, recovery, and performance tests for large-scale systems.
- Establish service-level objectives, telemetry, dashboards, and alerts for operational excellence.
- Lead production issue investigations and root-cause analysis, participate in on-call rotation, restore service health, and implement preventive improvements.
- Provide technical leadership, mentor engineers, collaborate across OCI organizations, and contribute to hiring and talent development.
Requirements
- Bachelor’s, master’s, or doctoral degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- At least six years of software engineering experience, including designing, building, and operating large-scale distributed systems.
- Strong programming expertise in Java, Python, or both.
- Experience building cloud-scale, multi-tenant products or services supporting high-throughput concurrent processing.
- Strong knowledge of distributed computing, large-scale data processing, system reliability, performance optimization, and service development and operations.
- Ability to design for scalability, elasticity, availability, durability, security, and cost efficiency.
- Practical understanding of large language models, AI agents, tool use, Model Context Protocol, and Agent-to-Agent interoperability, plus familiarity with AI-assisted development.
- Ability to provide technical leadership and communicate effectively in a fast-moving environment.
- Willingness to participate in on-call rotations and work on-site in Nashville Monday through Friday.
- Preferred experience includes observability, logging, search, analytics, query processing, machine-learning algorithms, query languages, compilers, query planners, distributed execution engines, indexing, information retrieval, AI agents, generative AI applications, or natural-language interfaces.
- Preferred technologies include Kafka, Lucene, Solr, Spark, Parquet, Kubernetes, and Terraform.
Benefits
- Medical, dental, and vision insurance, including expert medical opinion.
- Short- and long-term disability, life insurance, AD&D, and supplemental life insurance.
- Health care and dependent care Flexible Spending Accounts.
- Pre-tax commuter and parking benefits.
- 401(k) plan with company match.
- Paid vacation, 11 paid holidays, and paid sick leave with 72 hours available upon hire and annual refreshes subject to the stated cap.
- Paid parental leave and adoption assistance.
- Employee Stock Purchase Plan.
- Financial planning, group legal, and voluntary auto, homeowner, and pet insurance benefits.
- Full-time on-site work in Nashville, Tennessee, Monday through Friday; relocation assistance is available for qualified candidates.
- Participation in the team’s on-call rotation is required.
Tech Stack
Categories
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.