Senior Software Engineer

Oracle•Nashville, TN

15d•$79,200 - $209,500

About The Position

The Oracle Cloud Infrastructure (OCI) team offers the chance to build and operate massive-scale, integrated cloud services within a broadly distributed, multi-tenant cloud environment. OCI is dedicated to providing cloud products that address the needs of customers facing significant global challenges. As a Software Engineer on the Multi-cloud team, you will be responsible for designing, building, testing, deploying, and operating services and platforms that facilitate cloud integration, interoperability, automation, and reliable service delivery. You will collaborate with engineers across OCI, Oracle, and external partner teams to tackle complex distributed systems problems. This is an AI-first team that leverages AI-assisted engineering tools, such as Codex, in its daily development workflow. You are expected to utilize AI effectively to enhance productivity, cultivate and maintain AI skills, automate engineering tasks, expedite troubleshooting, and improve the quality and maintainability of our systems. The role requires comfort working across the full stack, rapid learning of new systems, debugging intricate production issues, and operating services with high availability requirements. This includes participating in an on-call rotation, incident response, operational reviews, and contributing to the continuous improvement of service reliability.

Requirements

3+ years of experience delivering and operating large-scale software systems.
BS/MS in Computer Science or equivalent experience.
Strong proficiency in Java is preferred; proficiency in another systems or application programming language, such as Python, Go, C/C++, or C#, will also be considered.
Hands-on use of AI-assisted development tools such as Codex, Claude Code, GitHub Copilot, or a similar tool to improve engineering productivity, quality, and operational effectiveness.
Ability to create reusable prompts, workflows, tools, or AI skills for software engineering tasks.
Strong background in Linux systems and containerized service development, including Docker image creation, container debugging, Kubernetes deployments, configuration, networking, logs, health checks, and operational troubleshooting.
Proven ability to build and debug RESTful APIs over HTTPS, with working knowledge of request/response flows, authentication, error handling, retries, timeouts, and API troubleshooting tools.
Experience building or operating cloud services, distributed systems, or integration platforms.
Strong foundation in computer science fundamentals, including data structures, algorithms, operating systems, networking, and distributed systems.
Experience with CI/CD, infrastructure automation, service observability, metrics, logging, tracing, and alerting.
Working knowledge of cloud infrastructure, identity, networking, security, or multi-cloud environments.
Demonstrated focus on improving production reliability through automation, testing, operational reviews, or incident follow-up.
Willingness to participate in an on-call rotation and support production services.

Responsibilities

Design, build, test, deploy, and operate services and platforms that enable cloud integration, interoperability, automation, and reliable service delivery.
Work with engineers across OCI, Oracle, and external partner teams to solve complex distributed systems problems.
Use AI-assisted engineering tools, including Codex, as part of the daily development workflow.
Use AI effectively to improve productivity, create and maintain AI skills, automate engineering tasks, accelerate troubleshooting, and improve the quality and maintainability of systems.
Work comfortably across the stack, learn new systems quickly, debug complex production issues, and operate services with high availability expectations.
Participate in an on-call rotation, incident response, operational reviews, and continuous improvement of service reliability.