FinOps Engineer

• 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

• CloudZero unit economics and cost allocation
• Istio service mesh and traffic cost observability
• Python or SQL cost data analysis and automation
• Looker or Grafana cost visualisation

Qualifications :

Must have

• 7 years of cloud infrastructure or engineering experience with at least 3 years in a dedicated FinOps cloud cost management or platform economics role.
• Hands-on GCP cost tooling experience Billing export Recommender CUD analysis.
• Proven track record of delivering measurable cloud cost savings. Be ready to talk numbers.
• Strong communication skills you can translate a complex cost anomaly into a clear story for a non-technical stakeholder.
• Experience building and maintaining tagging strategies and cost allocation frameworks.
• Comfortable in a Kubernetes environment you understand what node pools and resource limits mean in cost terms.

Nice to have

• FinOps Foundation certification (FOCP) or equivalent.
• Experience with CloudZero Apptio Cloudability or similar FinOps platforms.
• SRE or CloudOps background you understand what drives cloud spend from the inside.
• AWS cost management experience: Savings Plans Cost Anomaly Detection.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time