Financial Operations Expert, Cognism

• 5+ years in FinOps, cloud financial management, cloud infrastructure or a closely related role
• Strong hands-on experience analysing and optimising AWS spend in a production environment
• Experience with cost allocation, tagging, ownership models, budgeting, forecasting and variance analysis
• Demonstrated ability to identify rightsizing and efficiency opportunities and track them through to realised impact
• Strong understanding of cloud architecture and the trade-offs between cost, reliability, performance and scalability
• Ability to work effectively across Platform Engineering, Product Engineering, Data, R&D Operations, Finance and senior leadership
• Strong analytical skills and confidence working with large cost and utilisation datasets
• Excellent communication skills and fluent English
• We welcome applications from individuals typically underrepresented in tech, so if this role excites you but you’re unsure if you meet every requirement, we encourage you to apply!

Desirable

• 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
• 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
• AWS cost trends, deviations and optimisation opportunities are reviewed on a recurring cadence
• A measurable optimisation backlog continuously converts opportunities into realised savings
• Infrastructure changes include cost impact alongside technical, reliability and security considerations
• R&D leadership can make platform and cloud investment decisions using trusted cost, utilisation and forecast data