Cloud FinOps Analyst

Dotmatics Ltd.

Job Overview

Location

Remote - United Kingdom

Job Type

Full-time

Full Job Description

📋 Description

• At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive.
• Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian.
• We have a vision for a new Lab of the Future that will change the future of scientific research.
• We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform.
• Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs.
• You’ll join a collaborative, global team pushing the boundaries of scientific innovation.
• Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery.
• We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel.
• Dotmatics is a company built by scientists, for scientists.
• Combined, we are now the world’s largest cloud-based scientific research R&D platform.
• We need your help to keep growing and pioneering the future.
• We are Science Driven. We are Customer Centric. We are Better Together.
• What do we need
• Dotmatics is seeking an Cloud FinOps Analyst to own the operational health, architecture intelligence, and cost optimization of our cloud environments.
• In this role you will develop a deep understanding of our infrastructure, connect architectural decisions to business outcomes, and give engineering and leadership the visibility they need to make smart, cost-conscious decisions at scale.
• Cloud Architecture and Cost Intelligence
• Develop and maintain a comprehensive technical understanding of the organization’s cloud architecture across all major infrastructure components.
• Map the relationship between architectural decisions and cost drivers, producing clear models that connect system behavior to spend.
• Identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services.
• Build and maintain dashboards and reporting that give engineering and leadership real-time visibility into cloud cost trends.
• Technical Operations
• Help define and enforce cloud governance policies including tagging standards, resource lifecycle management, and rightsizing practices.
• Partner with engineering teams to review architectural decisions for cost impact before and after deployment.
• Maintain runbooks and documentation for operational data management processes.
• Stakeholder Collaboration
• Serve as the primary point of contact for cloud cost and operations questions from engineering, finance, and executive stakeholders.
• Translate complex technical findings into clear, business-oriented recommendations for non-technical audiences.
• Collaborate with engineering leadership on roadmap decisions that have infrastructure and cost implications.
• Work cross-functionally on handoffs and alignment across shared operational responsibilities.
• We are looking for people who have 5+ years of experience in cloud operations, cloud architecture, or a related technical infrastructure role, with demonstrated experience analyzing and optimizing cloud spend at enterprise scale.
• The key skills we are looking for are:
• Python, particularly data science and report generation frameworks.
• Hands-on experience with AWS or Databricks, with a strong preference for multi-cloud expertise.
• Strong understanding of cloud-native architectures including containerization, serverless, managed databases, and distributed systems.
• Experience with observability and monitoring platforms such as Datadog, CloudWatch, or equivalent.
• Ability to produce clear written and visual communication of technical findings for executive audiences.
• You may also have:
• Experience in life sciences, pharma, or regulated industry cloud environments including GxP or 21 CFR Part 11 contexts.
• Familiarity with FinOps frameworks and cloud cost management tooling such as CloudHealth, Apptio, or native cloud cost tools.
• Prior experience in a high-growth SaaS or enterprise software company.
• Relevant certifications such as AWS Solutions Architect, GCP Professional Cloud Architect, or FinOps Certified Practitioner.

🎯 Requirements

• 5+ years of experience in cloud operations, cloud architecture, or a related technical infrastructure role.
• Demonstrated experience analyzing and optimizing cloud spend at enterprise scale.
• Python, particularly data science and report generation frameworks.
• Hands-on experience with AWS or Databricks, with a strong preference for multi-cloud expertise.

🏖️ Benefits

• Private Medical
• Wellness Benefits (Mental Health Apps and Fitness Perks)
• Company-paid Life cover
• EAP (Employee Assistance Program)
• Pension/Retirement Plan

Skills & Technologies

Python

Express

AWS

GCP

Datadog

Remote

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Dotmatics Ltd.

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About Dotmatics Ltd.

Dotmatics develops cloud-based scientific R&D software that enables researchers to capture, manage, analyze and share chemical, biological and materials data from discovery through manufacturing. The unified platform combines electronic lab notebooks, chemical registration, biological assay management, visualization, predictive modeling and workflow automation, supporting pharmaceutical, biotech, chemical, agrochemical and academic organizations worldwide.

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