4 of 4 Deployment Automation Jobs in Glasgow

systems and information architecture. Drives continuous improvement in system observability, alerting, and capacity planning. Collaborates with engineering and data teams to optimize infrastructure and deployment processes, focusing on automation and operational excellence. Performs platform design, set-up and configuration, workspace administration, resource monitoring, providing engineering support to Data … resiliency, security, and auditability outcomes. Extensive experience with AWS, Databricks, or Snowflake platform administration and engineering support is a MUST. Experience with monitoring tools, automation frameworks, and CI/CD pipelines. Proficient in Python application program development with use of automated unit testing. Experience with Terraform development and understanding ...

Technical Lead (or similar) role with team leadership responsibility Hands-on experience designing and delivering cloud-native solutions within AWS (including infrastructure deployment) Strong knowledge of Infrastructure as Code, CI/CD pipelines, and automated deployment practices Ability to design scalable, secure, and resilient systems Experience producing ...

delivering impactful AI solutions, setting technical direction, and fostering a culture of innovation, collaboration and continuous learning. You will lead the design and deployment of scalable AI and machine learning solutions, establish best practices across the data science lifecycle, and guide teams through technical and organisational transformation. Alongside technical … grade machine learning solutions. Software Engineering Best Practices – Experience building modular, maintainable solutions using testing frameworks, Continuous Integration/Continuous Deploymentpipelines, version control and deployment automation. Technical Leadership – A proven ability of leading complex data science projects, defining technical standards and driving innovation across teams. People Leadership & Coaching – Experience ...

Glasgow) with hybrid work options. You will lead hosted and remotely managed SAS environments, guiding customers, analysts, and teams from initial implementation to production deployment, and driving automation, documentation, and best practices across global teams. You will mentor colleagues, shape technical architecture, and ensure service quality while aligning ...