Principal Platform Software Engineer

NetSuite, part of Oracle, is seeking a Principal Platform Software Engineer to join their Health Data Intelligence (HDI) team. The role involves designing and building cloud-native platforms and intelligent automation solutions for large-scale healthcare analytics, while collaborating with various teams to enhance software systems and drive the adoption of AI technologies.

Responsibilities:

• Design, develop, and maintain cloud-native software services supporting Oracle HDI analytics platforms
• Build scalable distributed systems capable of processing and analyzing large healthcare datasets
• Develop reusable frameworks, APIs, libraries, and platform capabilities that improve developer productivity and system reliability
• Contribute across the full software development lifecycle from architecture through production deployment
• Develop AI-powered tools and platforms that automate operational and engineering workflows
• Build agent-based systems for:
• Incident investigation
• Root cause analysis
• Infrastructure automation
• Operational intelligence
• Design software that enables self-service infrastructure and autonomous platform operations
• Design software solutions that improve availability, scalability, performance, and resilience
• Build observability platforms and reliability tooling used across engineering teams
• Develop automated remediation and self-healing capabilities
• Drive engineering improvements through metrics, automation, and performance optimization
• Develop software solutions that support OCI and multi-cloud deployments
• Build infrastructure automation frameworks and deployment tooling
• Improve platform efficiency, security, compliance, and operational scalability
• Design and optimize large-scale data processing and analytics systems
• Develop and enhance data pipelines, processing frameworks, and warehouse integrations
• Improve throughput, reliability, and efficiency of data-intensive workloads
• Participate in architecture reviews, design discussions, and code reviews
• Mentor engineers and contribute to engineering best practices
• Collaborate across software, platform, data, and infrastructure teams
• Champion software quality, automation, testing, and operational excellence

Requirements:

• 6 to 10+ years of software engineering experience building large-scale distributed systems
• Strong software development experience in Java, Python, Go, or similar languages
• Experience designing, building, and maintaining large-scale distributed systems
• Strong understanding of software architecture, design patterns, and system design principles
• Experience developing cloud-native applications and microservices
• Ability to write high-quality, maintainable, and testable production code
• Experience building highly available, fault-tolerant systems
• Strong understanding of scalability, performance optimization, concurrency, and resiliency patterns
• Experience developing platform services, shared frameworks, or developer tooling
• Knowledge of event-driven architectures and service-oriented systems
• Experience building software solutions leveraging Generative AI, Agentic AI, or LLM technologies
• Experience integrating frameworks such as LangChain, AutoGen, CrewAI, or custom AI agents
• Ability to develop AI-powered automation for incident analysis, operational workflows, infrastructure lifecycle management, and intelligent observability
• Experience designing APIs and services that incorporate AI capabilities
• Strong experience with OCI, AWS, Azure, or multi-cloud environments
• Experience building cloud-native services using Kubernetes and container technologies
• Knowledge of cloud architecture, networking, security, and resource optimization
• Experience with Infrastructure as Code using Terraform or similar technologies
• Experience building data-intensive applications and analytics platforms
• Knowledge of ETL pipelines and large-scale data processing frameworks
• Familiarity with data warehouse technologies such as Snowflake, Vertica, or equivalent platforms
• Understanding of distributed storage and columnar database architectures
• Understanding of SRE principles and operational excellence practices
• Experience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar tools
• Experience analyzing production issues and implementing durable software fixes
• Knowledge of reliability patterns, monitoring, alerting, and performance engineering
• 10+ years of software engineering experience building large-scale distributed systems
• Strong track record of delivering production software in cloud environments
• Experience developing cloud-native services, platforms, or infrastructure software
• Proven ability to lead complex technical initiatives from design through deployment
• Distributed systems design
• Cloud-native application development
• Platform engineering and developer tooling
• Large-scale data processing systems
• Performance optimization and scalability
• Experience building AI-powered software products or developer platforms
• Experience integrating LLMs, agent frameworks, or intelligent automation systems into production environments
• Understanding of emerging AI engineering patterns and operational applications
• Technical Skills: Java, Go, Python, or similar languages, Kubernetes, Docker, Terraform, CI/CD platforms, Prometheus, Grafana, OpenTelemetry, Cloud platforms (OCI preferred)