Posted Sep 14, 2026

Site Reliability Engineer/Manager Azure & AI Platforms

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Key Responsibilities Platform Reliability & Operations • Ensure the availability, performance, scalability, and reliability of Azure-hosted services. • Define and manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. • Proactively monitor platform health and performance using observability tooling. • Perform root cause analysis and implement permanent fixes for recurring incidents. • Participate in incident management and on-call support rotations where required. • Lead blameless post-incident reviews, capture lessons learned, and drive corrective actions through to completion. • Reduce operational toil by identifying repetitive manual tasks and replacing them with automated, reusable engineering solutions. • Develop reliability dashboards and actionable alerts that focus on customer-impacting symptoms rather than infrastructure noise. Azure Cloud Engineering • Design, deploy, and manage Azure infrastructure services including: • Virtual Networks • Application Gateways • API Management • Azure Kubernetes Service (AKS) • Azure Firewall • Azure Storage • Key Vault • Azure Monitor • Azure AI Services • Implement cloud platform standards and best practices. • Support multi-region Azure deployments and platform modernisation initiatives. • Undertake capacity planning and performance engineering to ensure platforms can scale reliably in line with business growth and peak demand. Infrastructure as Code (Terraform) • Develop and maintain Terraform modules and reusable infrastructure patterns. • Implement Infrastructure as Code (IaC) standards and governance controls. • Ensure infrastructure is version controlled, peer-reviewed, and fully automated. • Manage Terraform state securely and consistently across environments. DevOps, Automation & AI • Build and maintain Azure DevOps CI/CD pipelines. • Automate infrastructure provisioning and application deployments using pipelines with automated delivery and testing routines. • Implement testing, security scanning, policy compliance, and release gates. • Support DevOps and platform engineering practices. • Create automation for operational runbooks, self-healing processes, deployment validation, and environment consistency checks. • Manage and Implement AI platforms and tools such as Claude & Open AI, to develop skills and support business adoption of agentic AI capabilities. • Implement and enable self-service approach to technology services. Resilience, Disaster Recovery & Failover • Design and implement highly available Azure architectures. • Develop and maintain disaster recovery and business continuity capabilities. • Implement and test: • Regional failover strategies • Active/Passive architectures • Active/Active deployments • Traffic Manager and Front Door failover patterns • Database resiliency and replication • Backup and recovery solutions • Conduct regular resilience and recovery testing exercises. • Identify and reduce single points of failure across platforms. • Define and execute game days, chaos testing, and controlled failure scenarios to validate operational resilience. Security & Governance • Ensure platforms are secure-by-design. • Work closely with Security and Architecture teams to implement: • Zero Trust principles • RBAC controls / Managed Identities • Network segmentation and Zone based architecture • Secrets management • Support compliance requirements and operational audits. • Help coordinate security updates, patches, maintenance routines, and upgrades of the underlying system across partners and vendors • Embed reliability, security, and compliance controls into build and release pipelines to support production readiness. Continuous Improvement • Drive automation and reduction of manual operational tasks. • Improve deployment reliability and platform observability. • Contribute to architecture standards, runbooks, and operational documentation. • Partner with engineering, architecture, security, and service teams to define production readiness standards and reliability acceptance criteria.