FinOps Expert

WHO ARE WE

Cognism is the leading provider of European B2B data and sales intelligence. Ambitious businesses of every size use our platform to discover, connect, and engage with qualified decision-makers faster and close more deals. Headquartered in London with global offices, Cognism’s contact data and contextual signals are trusted by thousands of revenue teams to eliminate the guesswork from prospecting.

About the Role

As a FinOps Expert, you will establish cloud financial management as a continuous discipline across the entire Cognism R&D organisation. Working across Platform Engineering, Product Engineering, Data and R&D Operations, you will connect AWS usage, service ownership and engineering decisions to clear financial outcomes. This is a group-wide, hands-on role focused on cost transparency, rightsizing, forecasting and accountability - ensuring infrastructure and cloud investment decisions are based on data rather than intuition.

What You'll Do

• Own the continuous FinOps and AWS rightsizing process across Cognism R&D, covering production and non-production environments.
• Build clear cost visibility by service, engineering domain, environment, team and accountable owner across the R&D organisation.
• Track cloud cost baselines, trends, anomalies and material deviations, and translate them into actionable insight.
• Maintain a prioritised optimisation backlog with owners, expected savings, effort and delivery status.
• Provide cost assessments and projected financial impact for significant infrastructure changes and new platform initiatives.
• Partner with Platform Engineering, Product Engineering, Data Engineering and service owners to optimise resources without compromising reliability, security or delivery.
• Develop recurring infrastructure and cloud cost reporting for R&D leadership and Finance, including realised savings, cost drivers, forecasts and material variances.
• Use Port.io and cloud cost data to strengthen service ownership, cost allocation and platform governance.
• Promote cost-conscious engineering practices across R&D so teams understand the financial impact of architectural, platform and operational decisions.

Technology Environment

• AWS and native cloud cost-management data and tooling
• io service catalogue and engineering scorecards
• Kubernetes and cloud-native infrastructure
• Terraform / Infrastructure as Code
• Observability and utilisation data (CloudWatch, Grafana, Prometheus or equivalent)
• Data analysis and automation using SQL, Python or equivalent tooling

What Success Looks Like

• Every significant cloud cost across R&D has a visible owner, business context and reliable allocation.