that balances strategic vision with technical execution. Key Responsibilities Oversee day-to-day cloud operations, including monitoring, incident response, troubleshooting and optimisation Lead & manage both short & long term project planning (Agile, Sprints, Iteration Planning) Develop and implement cloud governance, security and compliance policies & procedures Drive automation and infrastructure-as-code improvements using Terraform and Ansible and an AI More ❯
isues, and help with legacy migrations when necessary. You need to be able to understand and troubleshoot data intensive systems. Engage in the team's organizational processes, such as planning, backlog refinement, and sprint reviews, to ensure effective collaboration and feedback. Collaborate with product managers and designers to understand requirements and translate them into technical solutions. Proactively identify More ❯
isues, and help with legacy migrations when necessary. You need to be able to understand and troubleshoot data intensive systems. Engage in the team's organizational processes, such as planning, backlog refinement, and sprint reviews, to ensure effective collaboration and feedback. Collaborate with product managers and designers to understand requirements and translate them into technical solutions. Proactively identify More ❯
isues, and help with legacy migrations when necessary. You need to be able to understand and troubleshoot data intensive systems. Engage in the team's organizational processes, such as planning, backlog refinement, and sprint reviews, to ensure effective collaboration and feedback. Collaborate with product managers and designers to understand requirements and translate them into technical solutions. Proactively identify More ❯
interdisciplinary teams including AI Scientists, MLOps, Engineers, and Product. Key responsibilities: Lead end-to-end project delivery of AI programmes, ensuring clear structure, defined timelines and risk mitigation. Facilitate sprintplanning, stand-ups, reviews, and retrospectives, keeping teams aligned and moving forward. Design, implement and manage Jira workflows, dashboards, and custom automations – including tool integrations such as Jira More ❯
Oxford, England, United Kingdom Hybrid / WFH Options
Cubiq Recruitment
interdisciplinary teams including AI Scientists, MLOps, Engineers, and Product. Key responsibilities: Lead end-to-end project delivery of AI programmes, ensuring clear structure, defined timelines and risk mitigation. Facilitate sprintplanning, stand-ups, reviews, and retrospectives, keeping teams aligned and moving forward. Design, implement and manage Jira workflows, dashboards, and custom automations – including tool integrations such as Jira More ❯
Business Analysts, Testers and other stakeholders during the development life cycle Developing a range of solutions across our web application, database, and middleware estate Joining daily stand ups and sprintplanning/review sessions Testing - unit testing and peer review We'd love you to have 5+ years experience with C#, MVC including RESTful API development and consumption More ❯
isues, and help with legacy migrations when necessary. You need to be able to understand and troubleshoot data intensive systems. Engage in the team's organizational processes, such as planning, backlog refinement, and sprint reviews, to ensure effective collaboration and feedback. Collaborate with product managers and designers to understand requirements and translate them into technical solutions. Proactively identify More ❯
