Principal Software Engineer

Oracle Oracle · Enterprise · Seattle, WA +1

Principal Software Engineer role at Oracle Cloud Infrastructure (OCI) focused on building AI-native engineering systems. The role emphasizes using AI-assisted development, coding agents, and automation-first workflows for software creation, integrating LLMs, copilots, and agentic IDEs to improve engineering velocity, reliability, and scale. Responsibilities include designing and building scalable cloud-native systems, automation platforms, and intelligent operational tooling, while leveraging AI systems to accelerate delivery and automate tasks.

What you'd actually do

  1. Design and build scalable cloud native systems, automation platforms, and intelligent operational tooling.
  2. Use AI assisted development workflows as the primary engineering model for software design, implementation, debugging, testing, and documentation.
  3. Build systems where humans supervise and orchestrate intelligent automation rather than manually executing repetitive engineering tasks.
  4. Rapidly prototype and productionize solutions using modern AI native development environments and agentic workflows.
  5. Develop internal developer platforms, APIs, operational workflows, and AI enabled engineering systems.

Skills

Required

  • 5+ years of software engineering experience building scalable production systems
  • Strong programming skills in Java, Python, Go, or JavaScript/TypeScript
  • Experience building distributed systems, cloud native applications, APIs, or automation platforms
  • Experience with CI/CD systems, cloud infrastructure, containers, and modern software development practices
  • Strong systems thinking, debugging, and problem solving skills
  • Ability to independently drive projects in fast moving and ambiguous environments

Nice to have

  • Deep experience using AI assisted development tools such as Cursor, Copilot, Claude, Codex or similar agentic engineering environments
  • Strong understanding of AI native software development workflows, prompt driven engineering, and LLM assisted system design
  • Experience building developer productivity tooling, workflow automation systems, or operational intelligence platforms
  • Familiarity with Kubernetes, Docker, Terraform, and Infrastructure as Code technologies
  • Experience with observability platforms, telemetry systems, and production operations
  • Knowledge of LLM orchestration frameworks, retrieval systems, vector databases, or AI infrastructure concepts is a plus
  • Demonstrated ability to rapidly ship high quality production systems using AI accelerated engineering workflows
  • Strong communication and cross functional collaboration skills

What the JD emphasized

  • AI native builder
  • AI assisted development
  • coding agents
  • automation first workflows
  • AI native development environments
  • agentic workflows

Other signals

  • AI native builder
  • AI assisted development
  • coding agents
  • automation first workflows
  • intelligent systems
  • LLMs
  • coding copilots
  • agentic IDEs
  • AI orchestration workflows