Чёткие задачи для senior-специалиста, современный стек и перспективная сфера разработки лекарств делают вакансию привлекательной, хотя в аутсорсинге стабильность проекта может меняться.
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Текст:
Hirify AI/Оригинал
TL;DR
Automation Engineer (Cheminformatics): Building automated scientific workflows for drug design and discovery with an accent on Python, Apache Airflow, Docker, and reproducible execution environments. Focus on integrating scientific tools and data sources, improving workflow reliability and scalability, and supporting AI-driven research processes.
Location: Remote from Spain
Company
Software Country provides custom software development services for complex high-load applications, AI and BI solutions, and mobile apps.
What you will do
Design and develop automated scientific workflows with Apache Airflow and Python.
Build and maintain Docker-based execution environments for consistent, reproducible, and scalable workflow execution.
Integrate scientific tools, data sources, and external services through APIs and data pipelines.
Monitor workflow execution, troubleshoot failures, optimize processes, and improve reliability and scalability.
Collaborate with engineers, data scientists, AI teams, and scientific researchers on automated drug discovery solutions.
Requirements
More than 6 years of professional experience.
Strong Python skills and hands-on experience developing automation tools, scripts, or backend components.
Practical Apache Airflow experience, including building, scheduling, and maintaining workflows or DAGs.
Experience with Docker and containerized application environments.
Understanding of software engineering best practices, including code quality, debugging, version control, and maintainable code.
Ability to work with complex technical processes and collaborate effectively with engineers, data scientists, and scientific researchers.
English level: B2+
Nice to have
Experience with other workflow orchestration and automation platforms.
Familiarity with AWS or other cloud environments.
Experience querying and retrieving data from PostgreSQL and/or Snowflake.
Knowledge of API design and integration.
Experience with Kubernetes and container orchestration.
Familiarity with GitOps and infrastructure or deployment automation.
Experience developing or integrating AI-powered applications.
Academic or professional background in life sciences, chemistry, computational biology, bioinformatics, or drug discovery.
Culture & Benefits
Remote work with a flexible schedule.
Choice of collaboration through a B2B contract with payments in USD or EUR, depending on preference, or through a labor contract.
Opportunities for professional growth.
Company laptop provided.
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