Senior Platform Software Engineer

Oracle•Nashville, TN

2d•$87,800 - $209,500

About The Position

Oracle Cloud Infrastructure (OCI) builds cloud services for enterprises. The Generative AI Code Assist Service team delivers services at the intersection of artificial intelligence and cloud infrastructure. Oracle Agent Platform is a managed platform for building, deploying, governing, and operating AI agents at enterprise scale across OCI. As a Senior Software Engineer on the Generative AI Oracle Agent Platform team, you will develop and operate cloud services using generative AI technologies. You will own software architecture and development for the Oracle Generative AI Agent Platform Service, contribute to distributed, highly available services and virtualized infrastructure, and design systems that support customers’ business-critical applications. The role calls for hands-on coding and broad distributed-systems expertise, with the ability to work independently, provide technical leadership, and balance speed and quality through iterative improvements. You will own a bounded platform component, such as a service module or SDK area, and evolve its contracts for multi-tenant use. You will debug across a limited service graph, implement resilience and capacity improvements, and document guidance for team consumers. The role also includes software design, testing, optimization, API lifecycle and interoperability work, customer issue resolution, secure development, and system maintenance. Senior engineers recommend and justify product changes, build consensus using data, and promote proactive operational excellence.

Requirements

At least 4 years of application development experience.
Proficiency in Java and one other major programming or scripting language, such as Python or Go.
Strong background in AI/ML, with a focus on generative AI and AI-driven code generation.
Strong distributed systems fundamentals.
Bachelor’s degree in computer science and engineering or a related engineering field.
Strong troubleshooting skills and demonstrated ability to deliver quality code.
Experience with container orchestration technologies such as Kubernetes.

Nice To Haves

Terraform knowledge.
Prior production experience with public cloud tools or services such as AWS, Azure, or GCP.
Master’s degree in computer science.
Experience with generative AI technologies.
At least 4 years of experience (also listed as a preferred qualification).

Responsibilities

Own a bounded platform component, such as a service module or SDK area, and evolve its contracts for multi-tenant use.
Debug across a limited-service graph and drive compatibility-safe remediation plans.
Implement targeted resilience and capacity patterns, and document adoption guidance for team consumers.
Independently design software solutions and analyze requirements to meet business and operational goals.
Develop software features and enhancements to design specifications, and document software design and code.
Follow and recommend improvements to the software development lifecycle.
Lead code reviews in designated areas and drive improvements.
Debug and troubleshoot software issues, develop fixes, and address API functionality and integration issues.
Implement software testing, quality assurance, error logging, monitoring, and observability.
Profile and optimize performance, and implement API versioning, lifecycle, and interoperability strategies.
Design and develop software, systems, and services aligned with established architecture; collaborate with team leads to review architectural alignment.
Implement performance optimization and scalability strategies.
Collaborate across teams to understand customer issues and align solutions; provide technical guidance to customers when needed.
Coach and guide others to advocate for customers, suggest enhancements based on feedback, and help ensure timely issue resolution and effective communication.
Investigate product maintenance issues and implement customer issue and defect-handling processes.
Follow development practices and coding standards, maintain code quality, and apply secure coding practices.
Perform periodic system maintenance, upgrades, and patching, including for critical vulnerabilities.
Improve automation, testing, and debugging to support service availability, health, support, and reliability.
Independently manage work, timelines, and deliverables; prioritize work and adapt to changing resources or timelines.
Collaborate across teams, understand stakeholder and customer needs, and build effective partnerships.
Identify and address standard and non-standard issues, troubleshoot using information from multiple sources, and share knowledge and best practices.
Continue building knowledge and skills, stay current with industry trends, use feedback and training, and contribute to team learning.
Recommend process, protocol, and workflow improvements, seeking input on alternative approaches.