3 of 3 Distributed Systems Jobs in Glasgow

as using AI-driven code assistants or automated testing frameworks Proven track record of continuous improvement Preferred qualifications, capabilities, and skills Proven experience in designing, building and supporting large distributed systems Certifications in target areas (AWS/Kubernetes etc) Experience of Java Reactive Stream programming ABOUT US J.P. Morgan is a global leader in financial services, providing strategic More ❯

work globally to support over 15 agile squads, delivering products and expertise to the entire Technology division composed of over 10,000 developers and production support engineers. In Enterprise Systems Management, we are not just building technology, we are shaping the future of banking. With hundreds of employees located around the world, we are an inclusive and international team … management, and capacity management. Event Management: monitoring, log-collection at firmwide scales, event correlation, and analysis. Visualization: analytics & user interfaces. Application Performance Management: tracing and performance monitoring across huge distributed systems Collaborating with cross-functional teams to understand data requirements, and design efficient, scalable, and reliable ETL processes using Python and DataBricks Developing and deploying ETL jobs that More ❯

day (inside IR35) Location: Glasgow (3 days onsite per week) Start date: ASAP Our client, a large global consultancy, is seeking a Senior Data Engineer to join a Enterprise Systems Management (ESM) team on a contract basis. ESM plays a critical role in developing and maintaining applications across the business, enabling the delivery of innovative technology solutions for a … service portals, incident/change management, and capacity management tools. Develop event management solutions, including monitoring, log-collection, correlation, and analytics dashboards. Implement application performance monitoring across large-scale distributed systems. Collaborate with cross-functional teams to design scalable and reliable ETL processes using Python and Databricks. Develop and deploy ETL jobs, extracting and transforming data from multiple sources. More ❯