7 of 7 Permanent Log Analytics Jobs in Reading

orchestration with Kubernetes (AKS). Proficiency in scripting languages such as PowerShell, Bash, or Python. Experience with monitoring/logging tools (e.g., Azure Monitor, Log Analytics, Application Insights). Desirable Skills: Knowledge of networking concepts (VNETs, NSGs, firewalls, load balancers). Experience with hybrid cloud or on-premises More ❯

defence, directly contributing to investigations involving nation-state threat actors (including IR, CH, and NK based campaigns) while refining your craft across enterprise-scale log ingestion and customised Sentinel integration engineering that will stretch your skills, give you opportunity to ingest complex logs from a mass of cloud and … data sources and the chance to learn these as you go. The Role You'll own and optimise enterprise-wide log onboarding into Microsoft Sentinel – deploying standard and custom connectors, Function Apps, and parsers to build tailored SIEM solutions that drive real-world threat detection and response. Log ingestion at scale across numerous hybrid and multi-cloud environments Enhance custom Function Apps and ingestion pipelines Parse, normalise, and optimise log telemetry to ensure precision and cost control Partner with IR teams on real attacks – tuning rules against live threat actor activity Sync closely with Microsoft teams More ❯

Gitlab, Jenkins, Teamcity Scripting languages such as PowerShell, bash L1 to L3 networking Logging and monitoring systems, and visualisation tools, such as Splunk, Datadog, Log Analytics, Cloudwatch, ELK, Grafana, PowerBI, Prometheus, Application Insights IaC tools such as Terraform, Cloudformation, Chef, Ansible, Puppet, Pulumi, Bicep Database systems such as More ❯

Gitlab, Jenkins, Teamcity Scripting languages such as PowerShell, bash L1 to L3 networking Logging and monitoring systems, and visualisation tools, such as Splunk, Datadog, Log Analytics, Cloudwatch, ELK, Grafana, PowerBI, Prometheus, Application Insights IaC tools such as Terraform, Cloudformation, Chef, Ansible, Puppet, Pulumi, Bicep Database systems such as More ❯

Gitlab, Jenkins, Teamcity Scripting languages such as PowerShell, bash L1 to L3 networking Logging and monitoring systems, and visualisation tools, such as Splunk, Datadog, Log Analytics, Cloudwatch, ELK, Grafana, PowerBI, Prometheus, Application Insights IaC tools such as Terraform, Cloudformation, Chef, Ansible, Puppet, Pulumi, Bicep Database systems such as More ❯

extension through Prisma Access. Deploy and administer GlobalProtect for secure remote access across endpoints and locations. Leverage Cortex Data Lake for threat visibility and log analytics; implement and monitor Data Loss Prevention (DLP) policies. Collaborate with cloud, application, and infrastructure teams to align networking with business services. Implement More ❯

wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution … across Azure security, identity and networking (e.g., IAMs, Private Endpoints), resource management (e.g., Storage Accounts, Azure Key Vault), and telemetry via Application Insights or Log Analytics. KEY RESPONSIBILITIES: Have 5+ years of technical consulting or a similar chronology of demonstrable success in coding and deploying Data and AI models … 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE More ❯