Who We are
BioCopy is pioneering next-generation TCRm antibody therapeutics by unlocking the pHLA target space. Our ValidaTe platform uniquely integrates high-throughput wet-lab screening, structural insights, and AI to rapidly identify, validate, and optimize highly specific antibody candidates.

Position Overview
We're seeking a Platform / DevOps Engineer to own and evolve the infrastructure that enables our data scientists and AI researchers to move faster. You'll build robust CI/CD pipelines, maintain our databases and APIs, containerize research tools, and ensure our digital platform scales reliably as BioCopy grows. This role reports to the Head of Digital and Data and is critical to translating computational models into production systems that drive drug discovery.

Platform / DevOps Engineer (m/w/d)
Full-Time / Emmendignen / Freiburg Region CI/CD & Automation:

Design, implement, and maintain Jenkins-based CI/CD pipelines for automated testing and deployment
Establish code standards and automated deployment workflows across multiple Ubuntu servers
Build and manage Docker container registry for research tools and web applications
Implement blue-green deployments, rollback procedures, and release management
Automate repetitive tasks through shell scripting and configuration management

Infrastructure Management:


Manage bare-metal Ubuntu servers, including systemd services, nginx/Traefik reverse proxies, and cron jobs
Ensure environment consistency across dev/staging/production
Set up and maintain system monitoring, log aggregation, and alerting for infrastructure health
Plan and implement automated backup strategies for PostgreSQL databases and critical systems
Optimize resource utilization and system performance

Containerization:


Build, optimize, and maintain Docker images for scientific applications
Implement multi-stage builds and container networking patterns
Manage Docker Compose orchestrations for multi-service applications
Establish best practices for container security and resource limits

Database & API Development:


Administer PostgreSQL databases (schema design, migrations, performance tuning)
Design and implement REST APIs using Flask or Django for data access and tool integration
Develop backend services to support internal applications (SCORE suite: calcSCORE, microarray-layout, Anabel)
Implement authentication, error handling, and API documentation (OpenAPI/Swagger)
Maintain Redis caching layer for performance optimization

Application Development:


Build and maintain internal full-stack web applications using Flask/Django backends
Support React frontends for internal tools (understanding of React workflows helpful)
Integrate APIs with data science workflows and experimental data pipelines
Ensure code quality through testing, review processes, and documentation

Collaboration & Ownership


Work closely with data scientists and AI researchers to containerize and deploy their tools
Own projects end-to-end: from repository setup to production deployment
Collaborate with the Head of Digital and Data to shape infrastructure strategy
Document systems, processes, and architectural decisions for knowledge sharing
Provide troubleshooting support and implement timely solutions for infrastructure issues


Strong DevOps foundation: Comfortable managing Linux (Ubuntu) servers, systemd, nginx/Traefik, cron jobs, and system administration

CI/CD expertise: Experience designing and maintaining CI/CD pipelines (preferably Jenkins)

Docker proficiency: Building images, Docker Compose, container registries, and containerization best practices

Database administration: PostgreSQL schema design, optimization, migrations, backup/recovery

Backend development: Python with Flask or Django for API and application development

Version control: Git workflows, code review, and collaborative development practices

Automation mindset: Shell scripting, configuration management, and infrastru...