Principal Software Engineer – AI-Native Platform Engineering

NetSuite, part of Oracle, is looking for a Principal Software Engineer to join their Health Data Intelligence team. The role involves designing and building cloud-native platforms and distributed systems to enhance healthcare analytics using AI technologies.

Responsibilities:

• Strong software development experience in Python, Java, Go (Golang), or similar languages
• Strong hands-on system design experience with the ability to architect and build large-scale distributed systems
• Demonstrated expertise writing high-quality, maintainable, testable, and production-grade code
• Strong understanding of software architecture, design patterns, and engineering best practices
• Experience developing cloud-native applications, microservices, and platform services
• Experience leading technical design discussions, architecture reviews, and complex engineering initiatives
• Experience building highly available, fault-tolerant distributed systems at scale
• Strong understanding of scalability, concurrency, resiliency, performance optimization, and reliability patterns
• Experience developing platform services, shared frameworks, developer tooling, and self-service platforms
• Knowledge of event-driven architectures, service-oriented systems, and asynchronous processing patterns
• Hands-on experience building solutions using Generative AI, Agentic AI, Large Language Models (LLMs), and intelligent automation technologies
• Experience integrating frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI, or equivalent AI platforms
• Experience building AI-powered automation for:
• Incident investigation and root cause analysis
• Operational intelligence and observability
• Infrastructure lifecycle management
• Engineering productivity and developer experience
• Experience designing APIs, services, and platforms that incorporate AI capabilities
• Experience building AI-assisted operational tooling, autonomous remediation systems, or intelligent platform services is highly desirable
• Strong experience with OCI, AWS, Azure, or multi-cloud environments
• Experience building cloud-native services using Kubernetes, Docker, and container orchestration platforms
• Strong understanding of cloud architecture, networking, security, compliance, and cost optimization
• Deep experience with Infrastructure as Code (IaC) using Terraform, Ansible, and related automation frameworks
• Experience building infrastructure automation, deployment tooling, and platform engineering solutions
• 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 systems, columnar databases, and large-scale analytics architectures
• Strong understanding of SRE principles and operational excellence practices
• Experience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar technologies
• Experience analyzing production issues and implementing durable engineering solutions
• Knowledge of monitoring, alerting, reliability engineering, performance tuning, and self-healing systems
• 10+ years of hands-on software engineering experience designing, building, and operating large-scale distributed systems
• Proven experience delivering production software in cloud-native environments
• Strong track record of leading complex technical initiatives from architecture and design through deployment and operations
• Experience building platform services, developer tooling, infrastructure automation frameworks, or large-scale analytics platforms
• Large-scale distributed systems architecture and hands-on system design
• Software engineering with strong coding proficiency in Python, Java, and/or Go
• Cloud-native application development and microservices architecture
• Infrastructure as Code (Terraform, Ansible) and automation engineering
• Platform engineering and developer productivity tooling
• Large-scale data processing and analytics systems
• Performance optimization, scalability, resiliency, and reliability engineering
• AI-powered platforms, intelligent automation, and agent-based system development
• Experience building AI-powered software products, engineering platforms, or operational tooling
• Experience integrating LLMs, agent frameworks, RAG architectures, and intelligent automation systems into production environments
• Understanding of emerging AI engineering patterns and practical applications within software engineering, infrastructure, and operations

Requirements:

• 6 to 10+ years of hands-on software engineering experience designing, building, and operating large-scale distributed systems
• Strong software development experience in Python, Java, Go (Golang), or similar languages
• Strong hands-on system design experience with the ability to architect and build large-scale distributed systems
• Demonstrated expertise writing high-quality, maintainable, testable, and production-grade code
• Strong understanding of software architecture, design patterns, and engineering best practices
• Experience developing cloud-native applications, microservices, and platform services
• Experience leading technical design discussions, architecture reviews, and complex engineering initiatives
• Experience building highly available, fault-tolerant distributed systems at scale
• Strong understanding of scalability, concurrency, resiliency, performance optimization, and reliability patterns
• Experience developing platform services, shared frameworks, developer tooling, and self-service platforms
• Knowledge of event-driven architectures, service-oriented systems, and asynchronous processing patterns
• Hands-on experience building solutions using Generative AI, Agentic AI, Large Language Models (LLMs), and intelligent automation technologies
• Experience integrating frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, OpenAI, or equivalent AI platforms
• Experience building AI-powered automation for incident investigation and root cause analysis
• Experience building AI-powered automation for operational intelligence and observability
• Experience building AI-powered automation for infrastructure lifecycle management
• Experience building AI-powered automation for engineering productivity and developer experience
• Experience designing APIs, services, and platforms that incorporate AI capabilities
• Strong experience with OCI, AWS, Azure, or multi-cloud environments
• Experience building cloud-native services using Kubernetes, Docker, and container orchestration platforms
• Strong understanding of cloud architecture, networking, security, compliance, and cost optimization
• Deep experience with Infrastructure as Code (IaC) using Terraform, Ansible, and related automation frameworks
• Experience building infrastructure automation, deployment tooling, and platform engineering solutions
• 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 systems, columnar databases, and large-scale analytics architectures
• Strong understanding of SRE principles and operational excellence practices
• Experience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or similar technologies
• Experience analyzing production issues and implementing durable engineering solutions
• Knowledge of monitoring, alerting, reliability engineering, performance tuning, and self-healing systems
• Proven experience delivering production software in cloud-native environments
• Strong track record of leading complex technical initiatives from architecture and design through deployment and operations
• Experience building platform services, developer tooling, infrastructure automation frameworks, or large-scale analytics platforms
• Large-scale distributed systems architecture and hands-on system design
• Software engineering with strong coding proficiency in Python, Java, and/or Go
• Cloud-native application development and microservices architecture
• Infrastructure as Code (Terraform, Ansible) and automation engineering
• Platform engineering and developer productivity tooling
• Large-scale data processing and analytics systems
• Performance optimization, scalability, resiliency, and reliability engineering
• AI-powered platforms, intelligent automation, and agent-based system development
• Experience building AI-powered software products, engineering platforms, or operational tooling
• Experience integrating LLMs, agent frameworks, RAG architectures, and intelligent automation systems into production environments
• Understanding of emerging AI engineering patterns and practical applications within software engineering, infrastructure, and operations
• U.S. citizenship is required for this position, as the successful candidate will be required to obtain and maintain a U.S. government security clearance after hire
• Experience building AI-assisted operational tooling, autonomous remediation systems, or intelligent platform services is highly desirable