Lead Expert in Scalable Distributed Systems
4 weeks ago
We are seeking a highly skilled Sr. Principal Member of Technical Staff to join our Cloud Infrastructure team at Oracle.
This is an exceptional opportunity to design and build innovative new systems from the ground up, working with other senior architects and product management to define requirements for OCI's upcoming AI/ML storage infrastructure services.
As a technical leader, you will mentor and demonstrate core values for junior engineers, contributing substantially towards our design and architecture, and implementing proof of concepts.
You should have deep experience with Lustre parallel filesystems operating in large scale Linux environments, ideally possessing a working understanding of the Lustre architecture and codebase.
Your expertise in one or more Public Cloud offerings (OCI, AWS, GCP, Azure) is a plus, as well as strong proficiency with C and C++ programming languages.
We are looking for a self-motivated individual who can thrive in a fast-paced environment, with excellent communication skills and the ability to clearly explain complex technical concepts.
About Us
At Oracle, we use tomorrow's technology to tackle today's problems, inspiring innovation through diverse perspectives and backgrounds.
We commit to expanding our inclusive workforce that promotes diverse insights and perspectives, ensuring everyone's voice is heard.
Qualifications
- 10+ years of experience delivering and operating large-scale, highly available distributed systems.
- Deep code-level or system administration experience with Lustre filesystems operating in large-scale Linux environments.
- Strong proficiency with C and C++. Python and/or Java is a plus.
- Expertise in one or more Public Cloud offerings (OCI, AWS, GCP, Azure) is a plus.
- Experience with other high-throughput I/O architectures like DAOS/SPDK is a strong plus.
- Familiarity with AI/ML frameworks (Tensorflow/Keras, PyTorch, Scikit-Learn, XGBoost, Caffe) as well as MLOps and Kubernetes is a plus.
- Strong knowledge of data structures, algorithms, operating systems, and distributed systems fundamentals.
- Strong troubleshooting and performance tuning skills.
- Self-motivation to thrive in a fast-paced environment.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field.
Earnings: Estimated salary range $96,800 - $251,600 per annum, with potential bonuses and equity opportunities.
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