Principal Platform Software Engineer

Join Oracle’s Health Data Intelligence (HDI) team as a Software Engineer 4, 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 at scale. You 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.

Responsibilities

Software Engineering, Design & Develop Software Platforms

• 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

Build Intelligent Automation Systems

• Develop AI-powered tools and platforms that automate operational and engineering workflows

• 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

Distributed Systems & Platform Engineering

• 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

AI-Native Engineering

• 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

• Intelligent observability

• Experience designing APIs and services that incorporate AI capabilities

Cloud & Platform Technologies

• 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

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 and columnar database architectures

Reliability Engineering

• 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

Core Technical Expertise

• Distributed systems design

• Cloud-native application development

• Platform engineering and developer tooling

• Large-scale data processing systems

• Performance optimization and scalability

AI-Native Experience

• 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)

US: Hiring Range in USD from: $104,500 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

9. 11 paid holidays

10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

11. Paid parental leave

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.