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 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:

4 years in FinOps, Cloud Cost Management, or a related role.
Hands-on experience with at least two major clouds (AWS, Azure, GCP) — pricing, billing, and commitment models.
Proven 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).
Cloud certifications (AWS / Azure / GCP).
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.