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 team to design, build, and operate scalable services that enhance developer experience and engineering productivity. This role focuses on creating an AI-native testing platform that analyzes service behavior, models traffic patterns, and generates realistic workloads to detect regressions with minimal manual effort. The engineer will develop agent-assisted workflows for canary, functional, integration, load, and performance tests while applying machine learning and LLM capabilities to telemetry and engineering knowledge. Key technologies include Java, Go, Python, or C++, along with experience in distributed systems, microservices, and cloud-native architectures like Kubernetes and containerization. The role addresses the challenge of automating test coverage from incidents and providing diagnostic capabilities for reliability and performance within a complex cloud infrastructure environment.

Skills

Python Go Java C++ Kubernetes OCI Machine Learning LLMs PyTorch TensorFlow Hugging Face CI/CD Microservices Distributed Systems Data Pipelines Service Mesh Prompt Engineering

What you'll do

Design, build, and operate highly available platform services for developer productivity and AI-assisted workflows.
Lead the architecture of scalable systems that analyze service behavior and model traffic patterns.
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 and workload-modeling systems that reflect real-world production usage.
Create evaluation and diagnostic tools for latency, error rates, reliability, and regression detection.
Automate the conversion of incidents and failed canaries into reusable test coverage.
Design APIs and data pipelines to provide intelligent testing capabilities across engineering teams.

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 four 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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