Principal Platform Software Engineer, AI at Oracle Cloud Infrastructure

Department: Software Engineering

Compensation · Listed in posting

$104,500 – $234,600/yr

Location: Nashville, Tennessee
Type: Full-time
Level: staff+
Posted: Aug 14, 2026

Description

Oracle is hiring a Principal Platform Software Engineer to define the architecture and technical direction of scalable, AI-native developer platforms and an intelligent testing platform. The role leads distributed cloud services, machine learning and LLM capabilities, agent-assisted test workflows, observability, reliability, security, and platform adoption across OCI. It requires a bachelor’s or master’s degree in a technical field, at least eight years of professional software engineering experience, and expertise in distributed systems, cloud-native software, APIs, and production systems. The role offers a US hiring range of $104,500 to $234,600 per annum and includes medical, dental, and vision insurance.

Required Skills

Distributed systems
Cloud-native technologies
Machine learning
Large language models
Developer tooling
Java
Go
Python
C++
Kubernetes
CI/CD
Observability
APIs

Additional Information

Minimum Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Required Previous Experiences: At least eight years of professional software engineering experience, including significant experience designing and operating large-scale production systems
Experience defining architecture and delivering complex platforms, backend services, microservices, event-driven systems, or large-scale data pipelines
Experience developing and operating cloud-native software using CI/CD, containerization, orchestration, and infrastructure automation
Experience integrating machine learning, generative AI, or other intelligent capabilities into production software systems
Experience mentoring senior engineers and improving engineering practices across teams or organizations
Preferred Qualifications: Experience architecting developer platforms, CI/CD systems, testing infrastructure, or engineering productivity tools at enterprise scale
Experience developing production solutions using machine learning, generative AI, or LLMs
Familiarity with AI agents, tool-using models, retrieval-augmented generation, prompt engineering, LLM-as-a-judge approaches, or model evaluation
Experience with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent technologies
Experience with traffic replay, workload modeling, canary analysis, load testing, performance testing, or chaos engineering
Deep experience with Kubernetes, containers, service meshes, and OCI or another major public cloud
Experience designing extensible, multi-tenant platforms used by multiple engineering organizations
Experience analyzing API schemas, code changes, service dependencies, production incidents, and traffic patterns
Familiarity with AI safety controls, model monitoring, privacy, and secure enterprise data handling
Translation Company Name: Oracle Cloud Infrastructure