Experience Requirements:

• Experience

Other Requirements:

• Female

Experience Requirements:

• Experience

Other Requirements:

• Female only

Other Requirements:

• Send resume at given email

Other Requirements:

• Send your resume at email address provided

Benefits:

• Build infrastructure from the ground up - not maintain decades-old systems

• Work on problems that matter - real enterprise deployments with real consequences

• Learn by doing - tackle challenges that require creative problem-solving, not following runbooks

• Direct impact on product and customers - see your work in production in days, not months

• Equity stake in what we're building together

Experience Requirements:

• 5+ years of experience as a DevOps engineer or in similar infrastructure roles

• Hands-on experience building and maintaining production cloud infrastructure

• Experience supporting applications in production environments

Other Requirements:

• Strong hands-on experience with AWS cloud services and architecture patterns

• Proficiency with Docker and solid experience with Kubernetes for container orchestration

• Experience implementing observability and error tracking solutions (such as Datadog, New Relic, or similar)

• Solid scripting and automation skills using Python or Bash

• Hands-on experience with Infrastructure-as-Code using Terraform

• Solid understanding of networking, security groups, load balancers, and DNS

• Experience building and maintaining CI/CD pipelines using tools like GitHub Actions, GitLab CI, or similar

• Proficiency with Git and Linux system administration

• Database operations experience supporting production systems

• Strong problem-solving skills and ability to work effectively in fast-paced environments

• Excellent verbal and written communication skills

• Comfort with changing priorities and ability to adapt quickly

Responsibilities:

• Build and maintain cloud infrastructure on AWS

• Implement and optimize CI/CD pipelines to support smooth software delivery

• Deploy and manage containerized applications using Docker and Kubernetes

• Implement Infrastructure-as-Code using Terraform for provisioning and configuration management

• Monitor system performance and application health using modern observability and error tracking platforms

Education Requirements:

• PhD candidate

Other Requirements:

• EU-funded

Responsibilities:

• Prostate Research

• Computational biology

Education Requirements:

• PhD candidate

Other Requirements:

• EU-funded

Responsibilities:

• Kidney Research

• Computational biology

Benefits:

• Opportunity to work on impactful, data-centric projects

• Exposure to both data analytics and data science practices

• Gain hands-on experience with cutting-edge technologies

• Collaborative and growth-oriented work environment

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field

Experience Requirements:

• Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)

• Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)

Other Requirements:

• Strong problem-solving skills and attention to detail

• Ability to work independently and in a team environment

• Excellent communication skills with the ability to present data findings clearly

• Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus

• A willingness to learn new tools and technologies in data science

Responsibilities:

• Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity

• Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights

• Support the development and testing of machine learning models under guidance

• Work closely with engineering and business teams to identify opportunities for data-driven improvements

• Contribute to the preparation and presentation of data reports and dashboards