Cognism Logo

Cognism

FinOps Expert(Temporary Contract)

Posted 10 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Senior level
In-Office or Remote
Hiring Remotely in London, Greater London, England, GBR
Senior level
Owns FinOps and AWS rightsizing across the R&D organization. The role provides cloud cost visibility, allocation, forecasting, variance analysis, optimization backlogs, cost-impact assessments, and recurring financial reporting. It partners with engineering, data, operations, finance, and leadership teams to improve resource efficiency, accountability, and cloud investment decisions while balancing cost, reliability, security, and performance.
The summary above was generated by AI
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.
  • 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.
  Required Experience
  • 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.
 WHY COGNISM

At Cognism, we’re not just building a company - we’re building an inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day. If you’re looking for a place where your work truly makes an impact, you’re in the right spot!

Our values aren’t just words on a page—they guide how we work, how we treat each other, and how we grow together. They shape our culture, drive our success, and ensure that everyone feels valued, heard, and empowered to do their best work.

Here’s what we stand for:

🤝 We Own the Outcome Together.
🤓 We Deeply Understand our Customers. 
🏆 We Celebrate Impact Wherever It Comes From.

At Cognism, we are committed to fostering an inclusive, diverse, and supportive workplace. 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!


HQ

Cognism London, England Office

London, United Kingdom

Similar Jobs

Yesterday
Remote
UK
Senior level
Senior level
Information Technology
Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.
Top Skills: BigQueryClickhouseDruidLlmsMachine LearningNlpPower BIPythonRedshiftSQLTableau
Yesterday
Easy Apply
Remote
United Kingdom
Easy Apply
Entry level
Entry level
Cloud • Security • Software • Cybersecurity • Automation
Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.
Top Skills: Artificial IntelligenceDevsecopsGreenhouseLinkedin InsightsLinkedin RecruiterSeekout
Yesterday
Easy Apply
Remote
United Kingdom
Easy Apply
Entry level
Entry level
Cloud • Security • Software • Cybersecurity • Automation
Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.
Top Skills: Artificial IntelligenceGreenhouseLinkedin InsightsLinkedin RecruiterMetaviewSeekout

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account