Senior Software Engineer – AI-Native Platform Engineering

Oracle

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$79,200–$209,500 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k
This role $144k
$62k most similar roles pay here $239k

This role pays less than 74% of similar roles. Most pay $144,350–$222,000 — the shaded band above. At the midpoint, this role pays about $144k versus about $183k 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 755 open roles on FindRole.

Listed pay typically runs $97,500–$211,506 across 570 roles with salary data.

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At a glance

TL;DR · Senior 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 that power large-scale healthcare analytics. Your day-to-day involves developing highly available services, reliability platforms, observability systems, and automation frameworks using Python, Java, Go, Kubernetes, Docker, Terraform, and Ansible. You will also integrate Generative AI and agentic technologies to create intelligent operational platforms and self-service infrastructure solutions. This role requires hands-on experience with cloud-native applications, microservices architecture, and large-scale data processing, as well as a strong understanding of SRE principles and observability tools like Prometheus and Grafana. Ideal candidates have 10+ years of software engineering experience in designing and operating distributed systems at scale.

What you'll do

  • Design and build large-scale distributed systems and cloud-native applications.
  • Develop highly available services and reliability platforms for mission-critical workloads.
  • Integrate Generative AI, Agentic AI, and LLMs into operational tooling and automation frameworks.
  • Implement observability solutions using Prometheus, Grafana, and OpenTelemetry.
  • Lead technical design discussions and complex engineering initiatives from architecture to deployment.
  • Build cloud-native services using Kubernetes, Docker, and container orchestration platforms.

What we're looking for

  • 10+ years of hands-on experience in designing and building large-scale distributed systems.
  • Strong software development skills in Python, Java, Go, and cloud-native application development.
  • Experience with AI technologies including Generative AI, LLMs, and intelligent automation frameworks.
  • Deep expertise in cloud infrastructure using OCI, AWS, Azure, Kubernetes, Docker, and Terraform.
  • Proven track record of leading complex technical initiatives from design to deployment.
  • Strong understanding of SRE principles, observability solutions, and reliability engineering.

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