Senior Research Operations Engineer

Overview

In this role you will support the day-to-day operation of King’s e-Research infrastructure, enabling heterogeneous HPC and cloud environments for data-intensive research. You will work with cross-functional teams across faculties to translate research needs into reliable, cost-aware services and guidance. You’ll tackle complex problems, contribute to technical leadership, and help shape a culture of collaboration and innovation. A meaningful hook is the opportunity to deploy AI-enabled research workflows at scale, with mentorship from senior colleagues.

Pay / Benefits

• allocation of 10% of time for professional development
• opportunity to attend at least two conferences per year
• collaborative and inclusive culture
• UK London weighting included in salary

Responsibilities

• support day-to-day running of e-Research infrastructure and services
• provide specialist support across the research lifecycle for multiple faculties
• contribute to deployment and operation of HPC cluster and cloud environments
• translate research requirements into costed funding proposals with mentorship
• guide and develop junior staff and colleagues in technical aspects
• assist in deploying AI models and related research workflows
• collaborate with cross-functional teams and external stakeholders
• participate in professional development and conferences as part of the role

Key requirements

• Postgraduate degree with significant computational/computer science components or demonstrable equivalent experience
• Strong verbal and written communication skills
• Experience with advanced operations in a production Linux environment (scripting: bash/awk; configuration management: Puppet, Ansible; scientific packaging: Spack, EasyBuild)
• Proficiency in a high-level programming language (Python, Golang) and experience with HPC, cloud computing, or storage hardware configurations
• Experience using AI-assisted software development tools (e.g., VSCode CoPilot, Claude Code, OpenAI Codex, OpenCode)
• Ability to mentor and provide guidance to junior staff and colleagues
• Strong customer service ethos for diverse technical audiences

• strong communication
• mentorship and leadership
• customer-focused service orientation
• Python
• Golang
• bash

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