Principal Software Engineer

Oracle•Nashville, TN

15d•$99,600 - $234,600

About The Position

The Oracle Cloud Infrastructure (OCI) team is seeking a Principal Software Engineer to join their Multi-cloud team. This role offers the opportunity to build and operate massive-scale, integrated cloud services in a distributed, multi-tenant cloud environment. The engineer will design, build, test, deploy, and operate services and platforms that enable cloud integration, interoperability, automation, and reliable service delivery. This is an AI-first team, utilizing AI-assisted engineering tools like Codex daily to enhance productivity, automate tasks, accelerate troubleshooting, and improve system quality. The role requires comfort working across the full stack, quickly learning new systems, debugging complex production issues, and operating services with high availability expectations. Responsibilities include participation in an on-call rotation, incident response, operational reviews, and continuous improvement of service reliability.

Requirements

5+ years of experience designing, building, and operating production-scale distributed systems or cloud services.
BS/MS in Computer Science or equivalent experience.
Deep hands-on experience with Java is strongly preferred; strong experience in another systems or application programming language, such as Python, Go, C/C++, or C#, will also be considered.
Candidates should be able to quickly become productive in a Java-based service environment.
Demonstrated ability to apply AI-assisted development tools such as Codex, Claude Code, GitHub Copilot, or similar tools to improve engineering productivity, code quality, documentation, testing, debugging, and operational workflows.
Deep experience designing, deploying, operating, and troubleshooting Linux-based containerized services using Docker and Kubernetes, including service configuration, networking, scaling, health checks, observability, and production incident debugging.
Deep experience designing, building, operating, and debugging RESTful APIs over HTTPS, including API contracts, authentication, authorization, error handling, idempotency, retries, timeouts, observability, backward compatibility, and production troubleshooting.
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.
Strong experience improving CI/CD, infrastructure automation, service observability, metrics, logging, tracing, alerting, and operational readiness for production services.
Working knowledge of cloud infrastructure, identity, networking, security, or multi-cloud environments.
Demonstrated ownership of production reliability, including incident response, root cause analysis, operational reviews, automation, testing, and durable corrective actions.
Demonstrated ability to lead technical projects across multiple engineers or teams.
Experience mentoring engineers through design reviews, code reviews, debugging, operational readiness, and production support.
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 effectively to improve productivity, create and maintain AI skills, automate engineering tasks, accelerate troubleshooting, and improve the quality and maintainability of systems.
Debug complex production issues and operate services with high availability expectations.
Participate in an on-call rotation, incident response, and operational reviews.
Continuously improve service reliability.
Design, create, and guide adoption of reusable prompts, workflows, tools, or AI skills that improve team execution and engineering quality.
Design, deploy, operate, and troubleshoot Linux-based containerized services using Docker and Kubernetes.
Design, build, operate, and debug RESTful APIs over HTTPS.
Build or operate cloud services, distributed systems, or integration platforms.
Improve CI/CD, infrastructure automation, service observability, metrics, logging, tracing, alerting, and operational readiness for production services.
Demonstrate ownership of production reliability, including incident response, root cause analysis, operational reviews, automation, testing, and durable corrective actions.
Lead technical projects across multiple engineers or teams.
Mentor engineers through design reviews, code reviews, debugging, operational readiness, and production support.