Job Description
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.
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
Software Engineering
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
Responsibilities
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
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
Platform Reliability & Scalability
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
Cloud & Infrastructure Engineering
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
Data Platform Development
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
Engineering Excellence
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
What You Bring
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)
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
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:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking
