Principal Platform Software Engineer

Oracle

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Work type: On-site
Location: —
Posted: 4 days ago

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Similar $186k

$132k most similar roles pay here $244k

This listing doesn't post a salary. Most similar roles pay $161,500–$211,200.

Based on 239 similar postings.

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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 559 open roles on FindRole.

Listed pay typically runs $99,600–$209,500 across 414 roles with salary data.

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TL;DR · Principal Platform Software Engineer

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As a Principal Platform Software Engineer at Oracle's Health Data Intelligence team, you will design and build next-generation cloud-native platforms and distributed systems that power large-scale healthcare analytics. Your day-to-day responsibilities include developing highly available services, reliability platforms, observability systems, and AI-powered operational tooling to enhance platform resilience across multi-cloud environments. You will work closely with product, data, and reliability teams to create scalable software solutions that process massive datasets and improve developer productivity. With a focus on AI-native infrastructure, you will drive the adoption of Generative AI and agent-based technologies to build intelligent operational platforms. Key skills include experience in Java, Python, Go, Kubernetes, Terraform, and cloud platforms like OCI, AWS, or Azure.

Skills

Java Python Go Kubernetes Terraform CI/CD Prometheus Grafana OpenTelemetry Snowflake Vertica Oracle Cloud Infrastructure AWS Azure Docker LangChain AutoGen CrewAI

What you'll do

Design and develop cloud-native software services for Oracle HDI analytics platforms.
Build scalable distributed systems to process large healthcare datasets efficiently.
Develop AI-powered tools that automate operational and engineering workflows.
Enhance platform reliability by designing observability solutions and automated remediation capabilities.
Improve infrastructure efficiency and security through automation frameworks and deployment tooling.
Optimize data processing pipelines and enhance analytics systems for better throughput and reliability.

What we're looking for

10+ years of experience in developing large-scale distributed systems.
Strong background in cloud-native application development and infrastructure software.
Proven ability to design, build, and maintain highly available fault-tolerant systems.
Experience with AI integration, including LLMs and intelligent automation frameworks.
Expertise in Java, Python, Go, Kubernetes, Docker, and Terraform.
Knowledge of observability tools like Prometheus, Grafana, and OpenTelemetry.
Understanding of data engineering principles and large-scale data processing.

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