Principal Software Engineer - AI-Native Platform Engineering

** Job Description*
* Join Oracle's Health Data Intelligence (HDI) team as a Principal Software Engineer, where you will design and build the next generation of cloud-native platforms, distributed systems, and intelligent automation solutions that power large-scale healthcare analytics.

This role is ideal for engineers who enjoy solving complex software engineering challenges  will develop highly available services, reliability platforms, observability systems, automation frameworks, and AI-powered operational tooling that enable mission-critical analytics workloads across Oracle Cloud Infrastructure and multi-cloud environments.

You will partner with product, platform, data, and reliability teams to build scalable software systems that process massive datasets, improve developer productivity, automate operational workflows, and enhance platform resilience.

As Oracle continues investing in AI-native infrastructure, you will help drive the adoption of Generative AI and agent-based technologies to build intelligent operational platforms, self-service infrastructure solutions, and autonomous reliability capabilities.

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.

** Responsibilities*
* ** Required Skills*
* ** Software Engineering*
* + 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

** Distributed Systems & Platform Engineering*
* + 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

** AI-Native Engineering*
* + Hands-on experience building solutions using Generative AI, Agentic AI, Large Language Models (LLMs), and intelligent automation technologies

+ Experience integrating frameworks such as Lang Chain, Auto Gen, 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

** Cloud & Infrastructure Engineering*
* + 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

** Data Engineering*
* + 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

** Reliability Engineering*
* + Strong understanding of SRE principles and operational excellence practices

+ Experience implementing observability solutions using Prometheus, Grafana, Open Telemetry, or similar technologies

+ Experience analyzing production issues and implementing durable engineering solutions

+ Knowledge of monitoring, alerting, reliability engineering, performance tuning, and self-healing systems

** What You Bring*
* + 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

** Core Technical Expertise*
* + Large-scale…