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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FinOps Expert(Temporary Contract) - **Company:** Cognism - **Location:** London, UK - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Data Analysis, Analysis of Variance (ANOVA), Software as a Service, Cloud Computing, Cloud Engineering, Information Engineering, Python (Programming Language), Cloud Services, Prometheus, SQL Databases, Cloud Platform System, Grafana, Kubernetes, Cloudwatch, Terraform - **Published:** September 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8a62ec3353b51e63 ## About the Role * 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. Nice to Have * FinOps Foundation certification or equivalent practical FinOps experience. * Experience with Kubernetes economics and shared-platform cost allocation. * Experience with Port.io, cloud service catalogues or engineering scorecards. * Experience building automated cost dashboards, anomaly detection or optimisation workflows. * Experience in a high-growth SaaS or data-platform environment. ## Description 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. ## Related Videos - [Monitoring as Code - Managing your dashboards at scale](https://www.wearedevelopers.com/videos/753-monitoring-as-code-managing-your-dashboards-at-scale) - [Move Fast, Break Budgets: FinOps in the Age of DevOps and AI](https://www.wearedevelopers.com/videos/2016-move-fast-break-budgets-finops-in-the-age-of-devops-and-ai) - [Data binning and understanding histograms](https://www.wearedevelopers.com/videos/2086-data-binning-and-understanding-histograms) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Keycloak case study: Making users happy with service level indicators and observability](https://www.wearedevelopers.com/videos/1599-keycloak-case-study-making-users-happy-with-service-level-indicators-and-observability) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) ## Related Articles - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)