Strong working knowledge of Azure (core services, identity, networking, governance) and good knowledge of AWS and GCP cost drivers and pricing mechanics:
- Azure: Log Analytics / Azure Monitor, Diagnostic Settings, Storage Accounts, Event Hub, Sentinel, Azure Policy, Cost Management.
- AWS: CloudWatch Logs, S3 lifecycle, Cost Explorer/CUR.
- GCP: Cloud Logging, Log Router/Sinks, BigQuery, Storage lifecycle policies, Billing exports.
- IaC/automation: Terraform, CI/CD (GitHub Actions/Azure DevOps), policy-as-code
- Practical understanding of FinOps principles, including cost allocation, showback/chargeback concepts, optimisation levers, and cost governance.
- Understanding of cloud governance/compliance approaches and how to implement guardrails in enterprise environments.
- Hands-on experience with at least two public cloud platforms (AWS, Azure, and/or GCP), including their native logging and monitoring services.
- Strong understanding of logging/observability architecture, including log ingestion and routing, retention policies, and storage cost drivers.
- Proven ability to analyse logging data at scale to identify cost drivers and deliver measurable cost reduction opportunities.
- Demonstrated experience building and deploying automation at scale using Python, Bash, and/or Terraform (including CI/CD and repeatable deployment patterns where applicable).
- Experience producing savings forecasts, building business cases, and writing structured optimisation proposals with clear assumptions and impacts.
- Strong communication skills, with experience presenting technical analysis and recommendations to senior technical stakeholders and influencing outcomes.
- Experience working in a highly governed enterprise environment, operating within compliance, operational risk, and change control frameworks.