Principal Software Engineer

Oracle Oracle · Enterprise · Austin, TX +1

Principal Software Engineer role focused on building AI-native engineering systems, internal platforms, and operational tooling using AI-assisted development, coding agents, and automation-first workflows. The role emphasizes leveraging LLMs and agentic tools to accelerate software creation, improve engineering velocity, and solve operational problems within Oracle Cloud Infrastructure.

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

  • Java
  • Python
  • Go
  • JavaScript/TypeScript
  • building scalable production systems
  • distributed systems
  • cloud native applications
  • APIs
  • automation platforms
  • CI/CD systems
  • cloud infrastructure
  • containers
  • modern software development practices
  • systems thinking
  • debugging
  • problem solving
  • independent project drive

Nice to have

  • AI assisted development tools (Cursor, Copilot, Claude, Codex)
  • agentic engineering environments
  • AI native software development workflows
  • prompt driven engineering
  • LLM assisted system design
  • developer productivity tooling
  • workflow automation systems
  • operational intelligence platforms
  • Kubernetes
  • Docker
  • Terraform
  • Infrastructure as Code
  • observability platforms
  • telemetry systems
  • production operations
  • LLM orchestration frameworks
  • retrieval systems
  • vector databases
  • AI infrastructure concepts
  • AI accelerated engineering workflows
  • communication
  • cross functional collaboration

What the JD emphasized

  • AI assisted development
  • coding agents
  • automation first workflows
  • agentic IDEs
  • agentic workflows

Other signals

  • AI-assisted development
  • coding agents
  • automation first workflows
  • intelligent systems
  • internal platforms
  • operational tooling
  • LLMs
  • coding copilots
  • agentic IDEs
  • AI orchestration workflows