About us:
Penlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide.
About the Role:
We are hiring a Cloud FinOps Engineer to bridge our central FinOps team with business units, engineering, and finance. You will own end-to-end cloud cost optimization across AWS, Azure, and GCP — from daily monitoring and anomaly detection to commitment management, dashboards, and stakeholder partnership.
Responsibilities:
- Monitor multi-cloud spend daily; detect anomalies and lead root-cause analysis.
- Drive optimization initiatives — rightsizing, RI/Savings Plans, MAP, and architectural improvements.
- Manage Azure RI and RI/SP purchases end-to-end across clouds.
- Provide commercial advisory for reseller agreements and procurement decisions.
- Build and maintain FinOps dashboards, KPIs, and custom automations.
- Own budget management, cost allocation, and forecasting for assigned business units.
- Lead FinOps reviews with engineering, product, and finance stakeholders.
- Advise on new project designs to embed cost-efficiency from day one.
- Deliver FinOps education sessions to elevate cloud cost-awareness across the org.
Requirements
- 3 years in FinOps, Cloud Cost Management, or DevOps.
- Strong experience with AWS cloud
- Experience managing RI / Savings Plans end-to-end.
- Strong analytical skills — Excel, SQL, and large-dataset analysis.
- Experience with FinOps tools (Cost Explorer, Umbrella, Azure Cost Management or similar).
- Solid financial acumen — budgets, forecasts, variance analysis, allocation.
- Excellent communication and stakeholder-management skills.
Advantages:
- FinOps Foundation certification (FOCP / FOCE).
- Scripting skills (Python, PowerShell, Bash) for automation.
- Experience with BI tools (Power BI, Tableau, Looker, QuickSight).
- Experience with AWS MAP or other cloud migration programs. [
- Experience with Azure + GCP