4 of 4 Permanent Kusto Query Language Jobs in Central London

Azure Cloud Security Engineer - Terraform & DevSecOps

Location
City Of London, England, United Kingdom
cloud security architecture, engineering and automation in a highly regulated environment. The role focuses on Azure security, Entra ID, Terraform, Sentinel/KQL and security automation, with strong ownership across real-world cloud environments. You will influence Azure security, identity management and DevSecOps practices, while supporting ...

Cloud FinOps Analyst

Hiring Organisation
Manufacturing Recruitment Limited
Location
City of London, London, United Kingdom
Employment Type
Permanent
Salary
£60,000
models and platform fundamentals (Azure, Snowflake, Kubecost desirable). Experience with FinOps practices and cost management tools, particularly Kubecost and cloud-native cost portals (KQL desirable). Demonstrated ability to work cross-functionally with Finance and technical teams to support cost visibility and decision-making. ...

Cloud Engineer

Location
City Of London, England, United Kingdom
Zero Trust controls Build secure infrastructure using Terraform Strengthen CI/CD and DevSecOps security Develop detections and investigations using Microsoft Sentinel & KQL Manage cloud risk through Wiz/CSPM Automate security processes using PowerShell/Python Support ISO 27001, SOC 2 and incident response Strong hands‐on experience across … Azure, Entra ID, Terraform, Sentinel/KQL, Wiz/CSPM, Key Vault and security automation . You don't need every technology listed — we're particularly interested in engineers who can design, secure and improve real-world cloud environments and want genuine ownership. £110k–£140k | Hybrid | City of London #CloudSecurity ...

Cyber Security Threat Hunter – 11832SR1

Location
City Of London, England, United Kingdom
Experience translating hunts and red team findings into practical detections and improvements (signal selection, tuning, suppression/thresholding, entity mapping, documentation, and operational handoff) KQL depth and query performance: Comfortable using joins/unions, parsing, time-windowing, summarisation, Essential baselining, and performance-aware query patterns for large datasets ...