
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.
🕒 Yesterday
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• 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
• 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
• Dynamic, remote-friendly environment • Collaboration with a global team • Opportunities for scientific innovation
Apply Now🕒 2 days ago
Senior Software Engineer at Coinbase designing and operating foundational data-heavy services. Collaborating to manage and troubleshoot data pipelines for analytics and machine learning.
Airflow
Cloud
Java
Kafka
Microservices
Python
Spark
SQL
Go
🕒 2 days ago
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Java
Kafka
Python
Rust
Go
🕒 6 days ago
Senior Data Engineer responsible for developing lakehouse architecture and robust data pipelines. Collaborating with teams to deliver business-ready data products on Microsoft Fabric.
Azure
Cloud
PySpark
Spark
SQL
🕒 June 3
Data Engineer developing and maintaining ETL/ELT pipelines at Lime for micromobility data analytics. Collaborating with teams to implement data ops best practices and improve data quality.
🇨🇦 Canada – Remote
💵 CA$121k - CA$147k / year
💰 $418M Convertible Note on 2021-11
⏰ Full Time
🟢 Junior
🟡 Mid-level
🚰 Data Engineer
Airflow
AWS
Cloud
Distributed Systems
ETL
Kafka
Python
Spark
SQL
Terraform
🕒 June 3
Senior Data Engineer at PAR Technology responsible for developing big data solutions and leading data pipeline optimization efforts. Collaborating with cross-functional teams to enhance data governance and support AI-driven products.
AWS
Azure
Cloud
Java
Kafka
MongoDB
MySQL
NoSQL
Postgres
PySpark
Python
Spark
SQL