Principal Software Engineer

Oracle is building the next generation of AI native engineering systems powering cloud operations and developer productivity at scale. They are seeking a Principal Software Development Engineer who will focus on building intelligent systems and automation platforms using AI-driven engineering practices.

Responsibilities:

• 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

Requirements:

• 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
• 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