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oracle

Principal Software Engineer

Oracle
Nashville, USA
Lead
Onsite
Discovered 1 months ago

Full Job Posting

Responsibilities

  • 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.

Minimum Qualifications

  • Bachelor’s degree in Computer Science or related technical field.
  • 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.

Preferred Qualifications

  • 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.

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