Job Description

Own cloud cost reporting across GCP and AWS — weekly, monthly, and ad hoc dashboards for engineering and business stakeholders.
Drive cost optimisation: rightsizing, committed use discounts (CUDs / RIs), idle resource cleanup, storage lifecycle policies, and network egress reduction.
Design and enforce a cloud tagging strategy — define taxonomy, automate compliance checks, and resolve untagged resources.
Build showback and chargeback models so teams understand and are accountable for their spend.
Lead monthly FinOps review meetings — present spend trends, highlight anomalies, explain variances, and recommend actions.
Set up and maintain budget alerts, anomaly detection, and forecasting models.
Partner with product and engineering to embed cost awareness early in architecture and feature design.

CloudOps & SRE — Secondary

Support day-to-day cloud operations on GCP and AWS: incident response, monitoring hygiene, and infrastructure health reviews.
Contribute to Datadog observability — dashboards, monitors, and alert tuning, particularly for cost-correlated signals.
Participate in on-call rotations and post-incident reviews with a cost lens on RCA.
Work with platform and SRE teams on Kubernetes cluster efficiency — node utilisation, autoscaling, and namespace-level cost attribution.

TECH STACK

Required

GCP — primary cloud platform (Billing API, BigQuery cost export, CUD analyser, GCP Recommender)
AWS — secondary cloud platform (Cost Explorer, Savings Plans, Trusted Advisor)
Kubernetes — node pools, resource requests/limits, namespace cost attribution
Datadog — monitoring and cost dashboards
Terraform — infrastructure as code for cost-related configurations

Good to have