Infrastructure Engineer, Mainframe Capacity

Join us as an Infrastructure Engineer, Mainframe Capacity You’ll engineer infrastructure technology for public and private cloud environments, complying with security, resilience, sustainability, and operational requirements with observability and guardrails built in You’ll also use automation to provide testing and a route to live for the product, working with customers to help them use our products appropriately through a users’ CI or CD pipeline This is a chance to work with colleagues across the bank to share engineering best practices, allowing you to expand your network and gain exposure for you and your work What you'll do As an Infrastructure Engineer, you’ll contribute to and manage the selection, creation and maintenance of technologies required to meet the needs of our customers, strategic targets and architecture outcomes, along with developing products using modern engineering practices and tools. We’ll look to you to collaborate with stakeholders to inform product roadmaps, detailing lifecycles of the technology from new products through to end of support and retirement. You’ll also support engineered products and respond to user feedback, new feature requests and resolve production issues wanted by the Product Owner. Additionally, you’ll: Develop technical skills through continuous learning and development Work within a team to design intuitive, self-service infrastructure products Contribute to the delivery of infrastructure as code solutions Work with users to help use our products and gain feedback Provide operational support for pattern or product related issues Generate innovative ideas and drive the delivery of those through product features The skills you'll need To thrive in this role, you’ll have experience in software development or automation scripting such as Python or Shell, with an understanding of the software development lifecycle. You’ll also have experience in utilizing modern infrastructure as code via tooling. We’ll expect you to bring a good understanding of Agile working practices and toolsets with the ability to relate everyday work to the vision of the feature team, platform and domain. Furthermore, you’ll need: Strong understanding of mainframe resource utilisation including CPU, MSU, memory, DASD, I/O and network performance Experience analysing RMF, SMF and other mainframe performance data to identify trends, risks and optimisation opportunities Knowledge of Workload Manager (WLM) concepts and their impact on service delivery, performance and capacity management Experience using mainframe performance and capacity tooling such as RMF, IntelliMagic, or equivalent Experience of using observability tools and techniques and the ability to use data, information and user sentiment to continuously improve solutions Public cloud vendor knowledge covering GCP, AWS and Azure Experience of working with technology deployed to an on premise datacentre An understanding of a DevOps mind-set, collaboration, automation and tooling Hours 35 Job Posting Closing Date: 03/08/2026 Ways of Working:Remote First