Platform engineer for computational drug discovery

Software Country; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Company laptop

Flexible schedule

Remote work option

Professional growth opportunities

Job summary

Arcadia Inc. is seeking a senior Platform/DevOps engineer to design, build, and operate scalable platforms for complex scientific workflows and automation.

You will manage data pipelines with Apache Airflow, develop containerized services in Docker, and collaborate with AI/ML teams to deliver reliable, scalable infrastructure across cloud environments. The role requires 6+ years in platform engineering, strong Python skills, and experience with Airflow, Docker, and cloud architectures.

Qualifications

• 6+ years of experience in Platform/DevOps or related field.
• Strong hands-on experience with Python.
• Practical experience with Apache Airflow or similar workflow orchestration tools.
• Solid experience with Docker and containerized environments.
• Experience designing, building, and maintaining automated data workflows and pipelines.
• Good understanding of cloud infrastructure and distributed systems.

Responsibilities

• Design, develop, and maintain scalable platforms for scientific workflow orchestration and automation.
• Build and manage complex data and computational pipelines using Apache Airflow and Python.
• Develop and maintain containerized applications and services using Docker.
• Ensure reliability, scalability, and reproducibility of automated scientific workflows.
• Integrate computational tools, data sources, and services via APIs.
• Collaborate with AI/ML engineers, scientists, and software developers.
• Contribute to infrastructure automation and CD practices.
• Optimize platform performance and support deployment of AI-driven applications.

Skills

Python

DevOps

Data pipelines

Cloud fundamentals

Tools

Docker

Apache Airflow

Kubernetes

Terraform

GitOps

PostgreSQL

Snowflake

Job description

Описание

We have 30 years of expertise in designing and building custom software systems. We provide software development services focusing on complex high-load applications, AI and BI solutions, and mobile apps. Modern drug discovery increasingly relies on complex computational infrastructure, scalable cloud technologies, and interconnected software systems. Building and maintaining reliable platforms that support these technologies is essential for enabling efficient, scalable, and reproducible scientific research.

Задачи

Design, develop, and maintain scalable platforms for scientific workflow orchestration and automation. Build and manage complex data and computational pipelines using Apache Airflow and Python. Develop and maintain containerized applications and services using Docker. Ensure the reliability, scalability, and reproducibility of automated scientific workflows. Integrate different computational tools, data sources, and services through APIs. Collaborate with AI/ML engineers, computational scientists, and software developers. Contribute to infrastructure automation and continuous delivery practices. Optimize platform performance and support the deployment of AI-driven applications.

Требования

6+ years of experience in Platform Engineering, DevOps, Infrastructure Engineering, or a related field. Strong hands-on experience with Python. Practical experience with Apache Airflow or similar workflow orchestration tools. Solid experience with Docker and containerized environments. Experience designing, building, and maintaining automated workflows and data pipelines. Good understanding of cloud infrastructure and distributed systems.

• Будет плюсом: Experience with AWS or other cloud platforms;
• Familiarity with Kubernetes;
• Experience with Terraform, GitOps, or Infrastructure as Code practices;
• Experience with PostgreSQL and Snowflake (primarily data querying and reading);
• Understanding of API design and service integration;
• Experience developing or supporting AI/ML-driven applications;
• Background in life sciences, computational chemistry, bioinformatics, or drug discovery;
• Experience with other workflow orchestration and management solutions

Условия

Collaboration via a B2B contract with payments in USD or EUR, depending on your preference, or through a labor contract Flexible work schedule. Possibility to work remotely Opportunities for professional growth. A company laptop to ensure a comfortable and efficient work setup.