[Hiring] Operations Data Engineer @Dotmatics

Role Description

Dotmatics is seeking an Operations Data Engineer 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.

In this role you will get to:

• 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.

Qualifications

• 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.
• Key skills include 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.

Requirements

• 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.

Benefits

• Dynamic, remote-friendly environment that fosters high integrity and collaboration.
• Opportunity to join a collaborative, global team pushing the boundaries of scientific innovation.
• Impactful role that accelerates scientific progress and discovery.