Principal Platform Software Engineer - OCI Nashville

Position: Principal Platform Software Engineer - JOIN OCI NASHVILLE!
** Job Description*
* PRINCIPAL PLATFORM SOFTWARE ENGINEER (IC4)

OCI Log Analytics - Query Language and Distributed Execution

Location:

Nashville, Tennessee

Work Arrangement:
On-site Monday through Friday

On-Call Requirement:
Participation in the team's on-call rotation is required

Relocation:
Relocation assistance is available for qualified candidates

POSITION OVERVIEW

Oracle Cloud Infrastructure (OCI) Log Analytics is a cloud-scale observability platform that enables customers to search, analyze, and derive actionable insights from massive volumes of machine-generated data. Its query language supports advanced capabilities, including clustering, anomaly detection, natural language processing, statistical analysis, and time-series analysis across terabytes of log data.

We are seeking a Principal Platform Software Engineer to help shape the architecture, query language, and distributed execution platform behind these capabilities. In this role, you will solve complex engineering problems involving query processing, distributed systems, machine learning, and generative AI.

You will also have opportunities to develop AI agents and agentic workflows that make large-scale log investigation and operational troubleshooting faster, more intuitive, and more effective.

This is a production-facing engineering role based in Nashville, Tennessee. The selected candidate must work on-site Monday through Friday and participate in the team's on-call rotation. Candidates who are interested in relocating to Nashville are encouraged to apply. Relocation assistance is available for qualified candidates.

** Responsibilities*
* RESPONSIBILITIES

- Lead the architecture, design, and development of OCI Log Analytics query-language capabilities, including parsing, planning, optimization, and distributed execution.

- Build scalable systems that execute advanced analytics and machine-learning algorithms across terabytes of data while meeting demanding latency, availability, and cost-efficiency requirements.

- Design and develop AI agents and agentic workflows that translate user intent into effective queries, investigate complex operational issues, and surface actionable insights.

- Architect secure, resilient, multi-tenant cloud services with appropriate fault tolerance, replication, throttling, load shedding, and automated recovery.

- Identify and eliminate performance bottlenecks across query execution, indexing, storage, retrieval, and analytics pipelines.

- Define performance, scalability, correctness, availability, and reliability requirements.

- Develop load, stress, fault-injection, recovery, and performance tests that validate system behavior at scale.

- Establish service-level objectives, telemetry, dashboards, and alerts that support operational excellence.

- Lead the investigation and root-cause analysis of complex production issues and drive corrective and preventive improvements.

- Participate in the team's on-call rotation, respond to production incidents, restore service health, and help maintain the reliability and availability of OCI services.

- Collaborate with product managers, architects, software engineers, site reliability engineers, security teams, and adjacent OCI Observability organizations.

- Provide technical leadership, mentor engineers, promote engineering best practices, and contribute to hiring and talent development.

MINIMUM QUALIFICATIONS

- Bachelor's, master's, or doctoral degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

- Six or more years of software engineering experience, including experience 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 that support high-throughput, concurrent processing.

- Strong understanding of distributed computing, large-scale data processing, system reliability, performance optimization, and the complete service development and operations lifecycle.

- Demonstrated ability to design systems for scalability, elasticity, availability, durability, security, and cost efficiency.

- Familiarity with modern AI-assisted software development and a practical understanding of large language models, AI agents, tool use, and interoperability protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A).

- Strong analytical, problem-solving, collaboration, and written and verbal communication skills.

- Demonstrated ability to provide technical leadership and deliver results in a fast-moving environment with evolving requirements.

- Ability and willingness to participate in the team's on-call rotation and respond to production incidents.

- Ability to work on-site in Nashville, Tennessee, Monday through Friday.

PREFERRED QUALIFICATIONS

- Experience building observability, logging, search, analytics, or query-processing platforms.

- Experience scaling machine-learning, statistical, or analytical algorithms across very large…