Principal Member Technical Staff

Oracle

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $96,800–$223,400 / yr
Posted: 10 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $188k

This role $160k

$79k most similar roles pay here $265k

This role pays less than 80% of similar roles. Most pay $161,750–$214,500 — the shaded band above. At the midpoint, this role pays about $160k versus about $188k for comparable roles.

Based on 239 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 467 open roles on FindRole.

Listed pay typically runs $97,500–$209,500 across 353 roles with salary data.

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At a glance

TL;DR · Principal Member Technical Staff

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As a Principal Member Technical Staff in Seattle, you will join Oracle’s software engineering division as an individual contributor with a focus on developing and maintaining highly available cloud services. Your day-to-day responsibilities include designing and implementing AI-driven solutions to detect and repair provisioning failures, expanding Kafka integrations for real-time hardware repairs, and creating automated ticket routing frameworks using NLP and ML. You will work closely with cross-functional teams to define standard practices and mentor junior engineers, ensuring seamless integration of cloud infrastructure components such as databases and networks. The role requires expertise in Python, Java, TypeScript, Kafka, TensorFlow, PyTorch, and other AI/ML tools, along with experience in cloud platforms like OCI, AWS, Azure, and GCP. This position demands a passion for innovation and collaboration to revolutionize cloud infrastructure and automation at scale.

Skills

Python Java TypeScript Kafka Agile Principles OCI AWS Azure GCP Linux Bash Perl Ruby Docker RESTful APIs Swagger TensorFlow PyTorch scikit-learn NLTK spaCy

What you'll do

Design and implement spike detection mechanisms using ML to minimize provisioning failures.
Expand Kafka integrations for near real-time hardware repair actions supporting SLO objectives.
Develop an automated ticket routing framework using NLP and ML to streamline workflows.
Lead critical initiatives by collaborating with cross-functional teams on AI-driven projects.
Create innovative tools and frameworks that automate testing and simulate complex environments.
Mentor junior engineers, sharing knowledge in AI, ML, and cloud infrastructure development.
Define and evolve standard practices for software engineering focused on AI-driven development.

What we're looking for

6+ years of experience in software engineering, focusing on AI and ML applications.
Expertise in designing and implementing distributed systems and cloud infrastructure.
Proficiency in Python, Java, TypeScript, and scripting languages like Bash, Perl, Ruby.
Experience with Kafka for real-time data processing and event-driven architecture.
Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch) and NLP libraries (NLTK, spaCy).
Ability to lead technical discussions and mentor junior engineers in a collaborative environment.

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