Cloud FinOps Analyst, Dotmatics
€42-57k
R&D solutions for digital transformation
Be an early applicant
R&D solutions for digital transformation
501-1000 employees
Be an early applicant
€42-57k
501-1000 employees
Company mission
To build the most powerful scientific R&D platform in the world.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
- 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
- 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
- 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
Our take
Scientific breakthroughs require collaboration in research efforts, but the challenge of obtaining and using meaningful scientific data is generally a major choke point, delaying and even derailing projects that could otherwise have yielded major discoveries. Dotmatics was founded to solve this problem, providing a collaborative R&D platform that could keep up with the evolving data challenges facing research teams.
Dotmatics' platform connects and organizes disparate sources of scientific data for use in research work, and supplements this with a range of applications to allow for collaboration, reporting and improved workflows. Its solution is used by more than two million researchers worldwide and has been adopted by major firms such as Merck, Bristol Myers Squibb and Moderna.
Having recently been acquired by Siemens, Dotmatics is entering a new phase of scale and ambition. By combining its scientific intelligence platform with Siemens' AI capabilities, Digital Twin technology, and global industrial software footprint, the company is ready to extend its impact from research labs tof ully manufacturing value chains. The deal not only expands Siemens' total addressable market by $11B but also creates a first-of-its-kind digital thread connecting R&D through production in Life Science. For Dotmatics, the acquisitions shows the strategic importance of solving the scientific data bottleneck and signals that its platform is set to play an even larger role in accelerating breakthrough innovation worldwide.
Steph
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Company HQ
Bulfinch Triangle Historic District, Boston, MA
Leadership
Thomas Swalla
(CEO)Previously served as CEO at GraphPad, Student Brands, and Duel Commerce.
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