
Job description
As a Compute Operations Engineer, you will assist in the management of a reliable and scalable research platform. You will design automation, from pipelines to Kubernetes controllers and custom CLIs, to ensure the compute farm capacity is optimal. You will work closely with research engineering and researchers in this role.
Key responsibilities of the role include: Managing lifecycle and monitoring of Core Compute and Research HPC platforms, Developing automation and operators to build and extend our Kubernetes compute platform, Working with platform and development teams to help define standards, best practices and onboard new technologies onto the platform, On-call responsibilities for the most critical parts of our Kubernetes infrastructure.
We’re looking for a skilled engineer with technical experience of managing high performance, scalable and resilient infrastructure solutions. The ideal candidate will have: Experience with Linux internals, Kubernetes experience, Knowledge of CI/CD principles, Development skills in at least one of Python or Go, Experience managing and debugging large productions systems, A reliability engineering mindset.
Company

Finance • Tech, Software & IT Services
G-Research is a quantitative finance research firm that leverages scientific rigor to tackle complex challenges in financial markets. The company unites world-class researchers and engineers, focusing on advanced quantitative research, machine learning, and robust IT infrastructure, systems, and information security. By combining deep exploration with methodical execution and a long-term perspective, G-Research delivers innovative, data-driven investment strategies and technology solutions. Its culture of disciplined analysis and collaborative problem-solving sets it apart in the industry, enabling clients and partners to achieve superior market insights and operational resilience.
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