Distributed Systems Expert
3 days ago
We are a pioneering technology company at the forefront of high-performance computing (HPC) with a strong foundation in applied physics.
Our innovative hardware and software solutions for the global technology and resource sectors enable our clients to leverage large and complex data sets.
We operate three world-class green supercomputer clusters, running a large suite of scientific applications.
The research and development team of mathematicians, geophysicists, and software engineers are responsible for creating and maintaining this suite of signal-processing and subsurface imaging tools.
We are seeking an experienced software engineer to improve the reliability and fault tolerance of our system in cooperation with our platform and IT teams.
A key part of the responsibilities will be maintaining and extending our graph-based task scheduler which underlies our distributed application.
Responsibilities:
- Focusing on the needs of our distributed cluster applications, identify gaps in our application and system monitoring, and implement solutions in collaboration with the platform and IT teams.
- Further optimise and develop our graph-based task scheduler, improving resiliency and efficiency of the scheduling decisions.
- Contribute to design and implementation of the distributed architecture with a focus on reliability and fault tolerance.
- Inspection and maintenance of software written by other members of the team.
- Providing and receiving regular, constructive feedback to and from your peers.
- Acting as a mentor for an exceptional intern or junior developer.
Requirements:
- Demonstrable expert-level skills as a software developer.
- Experience with at least one of our programming languages, Python, Java, C or C++.
- A good understanding of the different components of a Linux-based HPC cluster (network, filesystem, …) or alternatively experience with SRE.
- Excellent written and spoken business and technical English.
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