
Expert Computing Solutions Architect
5 days ago
We are seeking an experienced High Performance Computing (HPC) expert to lead the design and implementation of advanced computing solutions. The successful candidate will have a strong background in system architecture and engineering, with a focus on designing and integrating complex, multi-disciplinary computing solutions.
The HPC expert will be responsible for evaluating and selecting optimal architectural components and technologies to ensure scalability, reliability, and performance. They will also develop comprehensive high-level and low-level design documentation for computing infrastructure and serve as a technical authority and advisor to development teams throughout the solution lifecycle.
Key responsibilities include:
- Evaluating and implementing emerging technologies to improve computing performance and efficiency
- Collaborating with technical teams to design and develop complex computing systems
- Developing and maintaining detailed technical designs and documentation
- Serving as a technical authority and advisor to development teams
Requirements:
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent
- At least 5 years hands-on experience in solution architecture and system engineering, focus on multi-disciplinary systems
- Strong background in system architecture and engineering, with a focus on designing and integrating complex, multi-disciplinary computing solutions
- Comprehensive knowledge across the computing stack, including compute, networking, storage, operating systems and virtualization technologies
- Experience with automation stack software architecture - Advantage
- Deep knowledge in DevOps practices - Advantage
Personal attributes:
- Very analytical, excellent problem-solving skills
- Great communication skills, ability to present a technical idea / concept clearly
- Good ability to work and influence in a matrix environment
- Highly self-directed and motivated, works well independently and on a team
- Self-learner
- Can-do approach, flexible and agile
- Capable of multi-tasking, good time management and prioritization of tasks
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