2 months ago
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 builds database technology, enterprise applications, and Oracle Cloud Infrastructure for companies and governments. Its business spans cloud subscriptions, software licenses, and support services across ERP, HCM, CX, and industry suites, plus NetSuite. Founded in 1977 and headquartered in Austin, Texas, Oracle is a public company traded on the NYSE and serves global customers migrating and running critical workloads in its cloud.