Senior Core Infrastructure Engineer

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CASeattle, WA
Salary
$79,200–$209,500 / yr
Posted
7 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k
This role $144k
$61k most similar roles pay here $253k

This role pays less than 71% of similar roles. Most pay $144,350–$226,350 — the shaded band above. At the midpoint, this role pays about $144k versus about $185k 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 444 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 409 roles with salary data.

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At a glance

TL;DR · Senior Core Infrastructure Engineer

As a Senior Core Infrastructure Engineer, you will join the software engineering division to design, develop, troubleshoot, and debug software programs for databases, applications, tools, networks, and other cloud infrastructure components. You will work on critical initiatives including spike detection for provisioning failures, expanding Kafka integrations for real-time hardware repairs, and building automated ticket routing frameworks using NLP. The role focuses on solving complex problems in distributed systems, operating systems, and virtualized infrastructure to ensure high availability for the cloud ecosystem. You will utilize a technical stack including Python, Java, TypeScript, Bash, Perl, and Ruby, alongside tools like Docker and Kafka. Your work involves leveraging AI and ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn, along with NLP libraries like NLTK and spaCy to automate testing and infrastructure management across OCI, AWS, Azure, and GCP platforms.

What you'll do

  • Design, develop, troubleshoot, and debug software programs for cloud infrastructure components including databases, networks, and tools.
  • Implement ML algorithms to detect spike patterns in provisioning failures to minimize operational disruptions.
  • Expand Kafka integrations using event-driven architecture to support near real-time actions for hardware repairs.
  • Build an automated ticket routing framework powered by NLP and machine learning to streamline workflows.
  • Create AI-driven tools and frameworks to automate testing, simulate environments, and reproduce incidents.
  • Define and evolve standard engineering practices with a specific focus on AI-driven development.
  • Lead technical discussions across multiple teams to ensure seamless integration of cloud infrastructure components.
  • Provide direction and mentorship to junior engineers to promote team growth and knowledge sharing.

What we're looking for

  • Applicants must be able to read, write, and speak English.
  • Candidates must have 3 to 5+ years of experience in the field.
  • Experience is required in distributed systems, operating systems, virtualized infrastructure, and high-availability services.
  • Proficiency in programming languages including Python, Java, and TypeScript is required.
  • Expertise in AI and ML frameworks such as TensorFlow, PyTorch, Keras, scikit-learn, and NLP libraries like NLTK or spaCy is required.
  • Experience with cloud infrastructure (OCI, AWS, Azure, GCP), containerization (Docker), and messaging platforms (Kafka) is required.
  • Proficiency in scripting languages including Bash, Perl, and Ruby is required.
  • Knowledge of API design (RESTful), data management, and Agile principles is required.

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