Senior Core Infrastructure Engineer

Oracle

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Austin, TX
Salary: $89,200–$209,500 / yr
Posted: 126 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k

This role $149k

$72k $252k

below market most similar roles pay here above market

This role pays less than 65% of similar roles. Most pay $144,350–$193,000 — the blue band above. At the midpoint, this role pays about $149k versus about $169k 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 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Senior Core Infrastructure Engineer

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The Senior Core Infrastructure Engineer joins the OCI AI Infrastructure team to build an ultra-high-performance GPU platform for AI, ML, and HPC workloads. This role involves designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. You will build systems that allow customers to scale from tens to thousands of GPUs while leveraging technologies like RoCE and Infiniband. Key responsibilities include developing backend software, building operational tools and dashboards, and creating continuous integration and deployment pipelines. Required technical skills include proficiency in Java or GoLang, scripting in Python or Shell, and experience with Git and Bitbucket. You must possess a deep understanding of distributed systems, algorithms, and low-level systems troubleshooting to solve complex scaling and performance problems.

Skills

Oracle Cloud Infrastructure Java GoLang Python Shell Git Bitbucket AWS Azure Distributed Systems RoCE Infiniband GPU HPC ML AI

What you'll do

Design and develop fundamental architectural changes for GPU delivery and health monitoring.
Build diagnostic services for distributed AI/ML/HPC workloads across thousands of GPUs.
Develop backend services using Java, GoLang, or similar object-oriented languages.
Create automation tools and scripts using Python or Shell for proof of concept work.
Build and maintain operational tools, dashboards, and continuous integration/deployment pipelines.
Troubleshoot low-level systems and debug complex distributed systems issues.
Translate internal customer requests into prioritized technical features and work items.

What we're looking for

4+ years of backend software development experience.
BS or MS degree in Computer Science or a relevant technical field involving coding or equivalent practical experience.
Proficiency in Java or similar object-oriented languages like GoLang.
Experience with at least one scripting language such as Python or Shell for automation and command-line tools.
Strong working experience with Git and hands-on experience building operational tools and dashboards.
Hands-on experience developing services on a public cloud platform (preferred).
Experience and understanding of multi-AD/AZ and regional data centers (preferred).
Experience building continuous integration/deployment pipelines with robust testing and deployment schedules (preferred).