Principal Software Engineer – AI-Native Platform Engineering Job Washington area,District of Columbia USA,Software Development

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 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 distributed systems architecture and hands-on system design
Software engineering with strong coding proficiency in Python, Java,…