Lead Principal Application Software Engineer- Oracle Health

NetSuite is part of Oracle Health AI, focused on building next-generation cloud-native healthcare platforms. The Lead Principal Application Software Engineer will design and develop cloud-native services and automation solutions to enhance customer onboarding and improve healthcare outcomes.

Responsibilities:

• Design and build cloud-native services and distributed systems on OCI
• Develop scalable automation for customer onboarding, provisioning, deployments, migrations, and lifecycle management
• Build orchestration frameworks that enable touchless customer onboarding
• Build AI-powered capabilities that automate onboarding workflows and operational decision making
• Improve platform reliability through observability, telemetry, monitoring, and self-healing
• Collaborate across engineering, product, SRE, migration, and customer delivery teams

Requirements:

• Bachelor's degree in Computer Science or equivalent practical experience
• 10+ years designing and operating large-scale cloud-native distributed systems
• Strong programming skills in Java, Go, Python, C++, C#, or similar languages
• Experience with microservices, REST APIs, Kubernetes, Terraform, Infrastructure as Code, and cloud orchestration
• Experience building scalable infrastructure software or automation platforms
• Experience with OCI, AWS, Azure, GCP, or equivalent cloud platforms
• Proficiency using AI-assisted development tools such as Oracle Code Assist (CodeX), Claude Code, GitHub Copilot, Cursor, or equivalent
• Hands-on experience building AI-enabled solutions using LLMs, AI agents, RAG, MCP, vector databases, and prompt engineering
• Ability to apply AI to automate engineering workflows, customer onboarding, infrastructure operations, and developer productivity
• Strong analytical, troubleshooting, communication, and leadership skills
• Agile/Scrum experience
• Cloud control planes or workflow orchestration experience
• Fleet management or environment lifecycle management
• Observability platforms, networking, storage, cloud security
• Technical leadership across multiple teams
• Machine Learning fundamentals and MLOps
• Experience building AI-native applications or autonomous engineering workflows