Site Reliability Engineer/Manager Azure & AI Platforms

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.