Operations Data Engineer

🕒 Yesterday

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Dotmatics

501 - 1000 employees

🧬 Biotechnology

🔬 Science

⚕️ Healthcare Insurance

Biotechnology • Science • Healthcare Insurance

Dotmatics is an AI-powered scientific intelligence platform that specializes in data management and workflow automation specifically for multimodal scientific discovery. It facilitates adaptive lab workflows, enhances collaboration across various scientific disciplines, and integrates advanced predictive analytics to accelerate research and development. With a suite of products, including solutions for bioinformatics, cheminformatics, and flow cytometry, Dotmatics supports researchers in making informed decisions, streamlining operations, and driving innovation in drug discovery and materials science.

📋 Description

• Own the operational health, architecture intelligence, and cost optimization of cloud environments • Develop and maintain technical understanding of the organization’s cloud architecture • Map relationship between architectural decisions and cost drivers • Identify cost anomalies, inefficiencies, and optimization opportunities • Build and maintain dashboards for real-time visibility into cloud cost trends • Help define and enforce cloud governance policies • Serve as primary point of contact for cloud cost and operations questions

🎯 Requirements

• 5+ years of experience in cloud operations, cloud architecture, or related technical infrastructure role • Proficiency in 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, 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

🏖️ Benefits

• Dynamic, remote-friendly environment • Collaboration with a global team • Opportunities for scientific innovation

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