Principal Software Engineer – AI-Native Platform Engineering

Oracle

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$99,600–$234,600 / yr
Posted
7 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $167k
$83k most similar roles pay here $254k

This role pays less than 71% of similar roles. Most pay $163,800–$230,400 — the shaded band above. At the midpoint, this role pays about $167k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

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

Oracle currently has 606 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 466 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer – AI-Native Platform Engineering

As a Principal Software Engineer at Oracle's Health Data Intelligence team, you will design and build next-generation cloud-native platforms and distributed systems to support large-scale healthcare analytics. Your role involves developing highly available services, reliability platforms, observability systems, and automation frameworks that leverage AI technologies such as Generative AI and agent-based solutions. You will collaborate with various teams to create scalable software systems for processing massive datasets and enhancing platform resilience across Oracle Cloud Infrastructure and multi-cloud environments. Key skills include expertise in Python, Java, Go, cloud-native application development, Kubernetes, Terraform, and AI frameworks like LangChain and OpenAI. This position requires 10+ years of hands-on experience with large-scale distributed systems and a strong background in software engineering best practices.

What you'll do

  • Design and build large-scale distributed systems for cloud-native healthcare analytics.
  • Develop highly available services and reliability platforms to support mission-critical workloads.
  • Integrate Generative AI and agentic technologies into operational tooling and automation frameworks.
  • Lead technical design discussions, architecture reviews, and complex engineering initiatives.
  • Build scalable software systems that process massive datasets and enhance platform resilience.

What we're looking for

  • 10+ years of hands-on experience in designing and building large-scale distributed systems.
  • Expertise in cloud-native application development using Python, Java, Go, Kubernetes, Docker, and Terraform.
  • Proven track record of leading complex technical initiatives from design to deployment in cloud environments.
  • Strong understanding of AI-native engineering including Generative AI, Agentic AI, and LLM frameworks.
  • Experience with observability solutions like Prometheus, Grafana, and OpenTelemetry for production systems.

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