Senior Software Engineer - AI-Native Platform Engineering

Principal Software Engineer

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 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.

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 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

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, 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

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 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

AI-Native Experience

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

Technical Skills

Python, Java, Go (Golang)

Terraform, Ansible, Infrastructure as Code (IaC)

Kubernetes, Docker

CI/CD and DevOps platforms

Prometheus, Grafana, OpenTelemetry

Cloud platforms (OCI preferred)

Generative AI, Agentic AI, LLM frameworks, and AI-powered automation platforms

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: $79,200 to $209,500 per annum. May be eligible for bonus and equity.

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