26 to 33 of 33 Performance Tuning Jobs in Scotland

reusable RESTful APIs Preferred qualifications, capabilities, and skills Exposure to frontend libraries such as ag-grid, highcharts, redux as well as Typescript Exposure to performance tuning complex UI’s would be advantageous. Working within Investment Bank/Finance Technology Team leading experience J.P. Morgan is a global leader ...

third party vendors to troubleshoot outages/circuits faults etc.Participating in an on-call rotation (begins after 6 months of service)Conduct capacity planning, performance tuning and optimisation.Ensure compliance with security policies and regulatory requirements from a public sector perspective, such as ISO 27001, Cyber Essentials and NCSC ...

managed service partner, you will design, implement, and continuously improve resilient, scalable, and secure systems. You will leverage expertise in cloud infrastructure, automation, monitoring, performance optimisation, and incident management to deliver high system uptime and support evolving business needs.About the TeamThe role sits within the Digital and Technology Engineering … shaping and delivering the British Council's Site Reliability/DevOps strategy by implementing best practices that improve the availability, resilience, security, and performance of our digital platforms. You will use your expertise in cloud infrastructure, automation, monitoring, FinOps and performance optimisation to identify opportunities for improvement, resolve ...

Reliability Engineer you should have: Experience on Lunix/Unix, Java Applications, Oracle, SQL (PLQSP/MySQL) and RDBMS with exposure to writing queries, tuning concepts, data analysis etc. Experience of at least two of the Middleware technologies amongst JBOSS Apache Tomcat, Glassfish. Experience of Cloud technologies, AWS, OpenShift … automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. Accountabilities Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning. Resolution, analysis and response to system outages and disruptions, and implement ...

site reliability practices to cutting-edge AI platforms. You'll work hands-on with cloud and Kubernetes-based deployments, deep observability, and cost-aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you'll find meaningful impact and growth here.As a Senior Lead … will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale ...

site reliability practices to cutting‐edge AI platforms. You’ll work hands‐on with cloud and Kubernetes‐based deployments, deep observability, and cost‐aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you’ll find meaningful impact and growth here. As a Lead … will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost‐efficiency of the LLM inference platform end to end. You will operate large language model serving stacks (such as vLLM ...

site reliability practices to cutting-edge AI platforms. You’ll work hands-on with cloud and Kubernetes-based deployments, deep observability, and cost-aware performance tuning. If you enjoy solving hard production problems and making platforms measurably better, you’ll find meaningful impact and growth here. As a Senior … will build and scale AI infrastructure that modernizes traditional infrastructure management and site reliability engineering through applied AI. You will own the reliability, performance, and cost-efficiency of the large language model inference platform end to end. You will operate large language model serving stacks in production at scale ...

design and operate scalable AI infrastructure for reliable LLM serving at production scale. This role emphasizes cloud-based deployments, Kubernetes, observability, and cost‐aware performance tuning. You will own reliability, performance, and cost efficiency of the LLM platform end-to-end, manage diverse hosting environments including EKS, SageMaker ...