Principal Software Engineer - AI Integrations
Oracle · Washington, US
Job description
Oracle Cloud Infrastructure (OCI) is building the next generation of AI native engineering systems powering cloud operations, infrastructure automation, and operator productivity at scale.
We are looking for a Principal Software Development Engineer (IC4) who operates as an AI native builder. This is not a traditional software engineering role centered on manual coding. Engineers on this team use AI assisted development, coding agents, and automation first workflows as the default mode of software creation.
This role focuses on rapidly building intelligent systems, internal platforms, operational tooling, and cloud native services using modern AI driven engineering practices. You will work across distributed systems, automation platforms, developer experience, and operational intelligence to dramatically improve engineering velocity, reliability, and scale.
Engineers on this team are expected to deeply integrate LLMs, coding copilots, agentic IDEs, and AI orchestration workflows into their daily development process. Success in this role is measured not only by code written, but by the ability to effectively leverage AI systems to accelerate delivery, automate repetitive engineering work, and solve high impact operational problems.
As a Principal Software Development Engineer, you will:
- Design and build scalable cloud native systems, automation platforms, and intelligent operational tooling.
- Use AI assisted development workflows as the primary engineering model for software design, implementation, debugging, testing, and documentation.
- Build systems where humans supervise and orchestrate intelligent automation rather than manually executing repetitive engineering tasks.
- Rapidly prototype and productionize solutions using modern AI native development environments and agentic workflows.
- Develop internal developer platforms, APIs, operational workflows, and AI enabled engineering systems.
- Improve engineering productivity through intelligent automation, workflow orchestration, and self service tooling.
- Partner across engineering, infrastructure, and operations teams to solve complex technical and operational challenges.
- Drive operational excellence through observability, automated remediation, telemetry, and resilient system design.
- Contribute to architecture, technical strategy, and engineering best practices across the organization.
- Mentor engineers in modern AI native development practices and automation first engineering approaches.
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