The Oracle Cloud Infrastructure team provides the opportunity to build and operate massive-scale, integrated cloud services in a broadly distributed, multi- tenant cloud environment. OCI is committed to delivering cloud products that meet the needs of customers tackling some of the world’s biggest challenges.
As a Software Engineer on the Multi-cloud team, you will design, build, test, deploy, and operate services and platforms that enable cloud integration, interoperability, automation, and reliable service delivery. You will work with engineers across OCI, Oracle, and external partner teams to solve complex distributed systems problems.
This is an AI-first team. We use AI-assisted engineering tools, including Codex, as part of our daily development workflow. You will be expected to use AI effectively to improve productivity, create and maintain AI skills, automate engineering tasks, accelerate troubleshooting, and improve the quality and maintainability of our systems.
You should be comfortable working across the stack, learning new systems quickly, debugging complex production issues, and operating services with high availability expectations. This role includes participation in an on-call rotation, incident response, operational reviews, and continuous improvement of service reliability.
Basic Qualifications:
- 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.
Internal Responsibilities
As a Software Engineer on the Multi-cloud team, you will design, build, test, deploy, and operate Java-based cloud services, RESTful APIs, and containerized workloads running on Kubernetes. You will collaborate with engineers across OCI, Oracle, and partner teams to deliver reliable integration platforms and automation capabilities.
You will own well-scoped features and service improvements from design through production, including implementation, testing, debugging, observability, and operational readiness. You will use AI-assisted development tools such as Codex, Claude Code, GitHub Copilot, or similar tools to improve engineering
productivity, quality, and troubleshooting.
This role includes participation in an on-call rotation, production incident response, and ongoing improvements to service reliability, automation, monitoring, and supportability.
External Responsibilities
As a Software Engineer on the Multi-cloud team, you will design, build, test, deploy, and operate Java-based cloud services, RESTful APIs, and containerized workloads running on Kubernetes. You will collaborate with engineers across OCI, Oracle, and partner teams to deliver reliable integration platforms and automation capabilities.
You will own well-scoped features and service improvements from design through production, including implementation, testing, debugging, observability, and operational readiness. You will use AI-assisted development tools such as Codex, Claude Code, GitHub Copilot, or similar tools to improve engineering
productivity, quality, and troubleshooting.
This role includes participation in an on-call rotation, production incident response, and ongoing improvements to service reliability, automation, monitoring, and supportability.
