Senior Platform Software Engineer, AI

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Nashville, TN
Salary: $92,500–$209,500 / yr
Posted: 28 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 $151k

$76k most similar roles pay here $251k

This role pays less than 66% of similar roles. Most pay $151,000–$228,950 — the shaded band above. At the midpoint, this role pays about $151k 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 · Senior Platform Software Engineer, AI

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Senior Platform Software Engineer, AI joins the Developer Platform Tools and Services organization to build next-generation developer productivity platforms and AI-powered engineering tools. This role focuses on designing, building, and operating scalable services that improve the developer experience by creating an AI-native testing platform. The engineer will develop systems to analyze service behavior, model traffic patterns, and generate realistic workloads while implementing agent-assisted workflows for automated testing. Key responsibilities include applying machine learning and large language models to service telemetry and engineering knowledge to detect regressions and provide failure explanations. Required skills include proficiency in Java, Go, Python, or C++, along with expertise in distributed systems, microservices, cloud-native architectures, and containerization. The role addresses the technical challenge of automating complex testing cycles and improving reliability within large-scale cloud infrastructure environments.

Skills

Python Go Java C++ Kubernetes OCI PyTorch TensorFlow Hugging Face Transformers LLMs Generative AI CI/CD Microservices Distributed Systems Data Pipelines Service Mesh

What you'll do

Design, build, and operate highly available platform services for developer productivity and AI-assisted workflows.
Architect scalable systems to analyze service behavior, model traffic patterns, and generate realistic workloads.
Develop agent-assisted workflows to plan and execute canary, functional, integration, load, and performance tests.
Apply machine learning and LLM capabilities to service telemetry, API changes, and engineering knowledge.
Build safe traffic-generation systems that reflect production usage and complex service dependencies.
Create evaluation tools for functional correctness, latency, error rates, and regression detection.
Provide actionable explanations of failures including root causes and reproduction steps.
Automate the conversion of incidents and failed canaries into reusable test coverage.

What we're looking for

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Four or more years of professional software engineering experience building and operating production systems.
Proficiency in at least one modern programming language such as Java, Go, Python, or C++.
Strong knowledge of system design, algorithms, data structures, concurrency, APIs, and scalable architectures.
Experience building backend services, distributed systems, microservices, event-driven applications, or large-scale data pipelines.
Experience developing and operating software in cloud environments using CI/CD, containerization, and cloud-native architectures.
Experience with service testing, reliability, observability, performance engineering, or production operations.
Ability to troubleshoot complex systems using logs, metrics, traces, telemetry, and production data.

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