3 of 3 Permanent Performance Optimisation Jobs in Lanarkshire

Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, our client is recognized worldwide not just for business performance but for inclusion and diversity too. Across the globe, one thing is universally true of the people of our client: We care deeply about … embedding policy-as-code, automated governance controls and AI-assisted security scanning as standard elements of platform delivery Design for platform resilience, FinOps and performance optimisation using AI-driven telemetry and observability to anticipate issues, optimise cost and maintain operational excellence Drive adoption of agentic operations patterns designing ...

client within the Engineering Efficiency and Analytics team, you will design and deliver a firmwide metrics and analytics platform that brings visibility to engineering performance, delivery health, and the measurable impact of AI-assisted development. You will work end-to-end from data pipelines and backend services to modern … trend analysis, and translate findings into compelling dashboard narratives that inform engineering decisions Partner with engineering teams, leaders, and stakeholders to align on performance benchmarks and translate shared goals into a coherent metrics strategy Implement CI/CD pipelines, automated testing, secure coding standards, and code review practices ...

integration patterns, routing, error handling) and document key decisions. Drive quality and operability through automated testing (unit/component/e2e), accessibility compliance, performance optimization, and UI telemetry/monitoring. Build and improve CI/CD for UI delivery (linting, automated tests, quality gates, build optimization, release automation … work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security. Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency ...