Cloud FinOps Engineer

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

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