Key skills
Cloud-native distributed systemsJavaGoPythonC++C#MicroservicesREST APIsKubernetesTerraformInfrastructure as CodeCloud orchestrationOCIAWSAzureGCPAI-assisted development toolsOracle Code AssistClaude CodeGitHub CopilotCursorAI-enabled solutionsLarge Language Models (LLMs)AI agentsRetrieval-Augmented Generation (RAG)Multi-Channel Processing (MCP)Vector databasesPrompt engineeringAgile/ScrumCloud control planesWorkflow orchestrationFleet managementEnvironment lifecycle managementObservability platformsStorageCloud securityMachine Learning fundamentalsMLOpsAI-native applicationsAutonomous engineering workflowsCAIMachine LearningClaudeRAGOracleGitHubAgileScrumLeadershipCommunicationDecision MakingCloud Security
About this role
NetSuite is part of Oracle Health AI, which is focused on building cloud-native healthcare platforms. The Lead Principal Application Software Engineer will design and develop cloud-native services and automation tools to enhance customer onboarding and improve platform reliability.
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