Principal Platform Software Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Nashville, TN
Salary: $104,500–$234,600 / yr
Posted: 27 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $190k

This role $170k

$89k most similar roles pay here $251k

This role pays less than 59% of similar roles. Most pay $162,875–$216,300 — the shaded band above. At the midpoint, this role pays about $170k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Principal Platform Software Engineer

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Principal Platform Software Engineer joins the Developer Platform Builder Tools team to define the architecture and technical direction of scalable services that enhance developer experience and engineering productivity. This role focuses on building a new AI-native testing platform designed to learn real-world service behavior, generate realistic test traffic, and detect regressions with minimal manual effort. The engineer will design systems for workload modeling, failure diagnosis, and agent-assisted workflows while integrating machine learning and large language models into production software. Key technical requirements include proficiency in Java, Go, Python, or C++, along with expertise in distributed systems, cloud-native technologies, Kubernetes, and containerization. The role addresses the challenge of automating complex testing cycles for diverse services by leveraging telemetry, API analysis, and intelligent capabilities to ensure high availability and reliability across large-scale, distributed cloud environments.

Skills

Python Go Java C++ Kubernetes OCI CI/CD Machine Learning LLMs PyTorch TensorFlow Hugging Face Transformers Microservices Distributed Systems Infrastructure Automation Service Mesh

What you'll do

Define the technical vision, architecture, and multiyear evolution of OCI’s AI-native developer platforms.
Design and deliver secure, highly available services for large-scale distributed cloud environments.
Architect systems to analyze service behavior, model traffic patterns, and generate realistic workloads.
Establish agent-assisted workflows to automate canary, functional, integration, load, and performance testing.
Integrate machine learning and LLM capabilities into service telemetry, API changes, and incident management.
Develop architectural approaches for failure diagnosis, regression detection, and converting production incidents into test coverage.
Define platform APIs, data models, and integration patterns to enable adoption across diverse OCI services.
Provide technical leadership by mentoring senior engineers and resolving cross-team architectural challenges.

What we're looking for

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
At least eight years of professional software engineering experience including designing and operating large-scale production systems.
Proficiency in modern programming languages such as Java, Go, Python, or C++.
Deep expertise in distributed systems, system design, APIs, concurrency, data modeling, and scalable service architectures.
Experience developing cloud-native software using CI/CD, containerization, orchestration, and infrastructure automation.
Strong understanding of service reliability, observability, performance engineering, security, and production operations.
Experience integrating machine learning, generative AI, or other intelligent capabilities into production software systems.
Proven ability to lead high-impact technical initiatives and mentor senior engineers across multiple teams.

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