Who We areBioCopy 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 OverviewWe'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 RegionKey ResponsibilitiesCI/CD & AutomationDesign, implement, and maintain Jenkins-based CI/CD pipelines for automated testing and deploymentEstablish code standards and automated deployment workflows across multiple Ubuntu serversBuild and manage Docker container registry for research tools and web applicationsImplement blue-green deployments, rollback procedures, and release managementAutomate repetitive tasks through shell scripting and configuration managementInfrastructure Management:Manage bare-metal Ubuntu servers, including systemd services, nginx/Traefik reverse proxies, and cron jobsEnsure environment consistency across dev/staging/productionSet up and maintain system monitoring, log aggregation, and alerting for infrastructure healthPlan and implement automated backup strategies for PostgreSQL databases and critical systemsOptimize resource utilization and system performanceContainerization:Build, optimize, and maintain Docker images for scientific applicationsImplement multi-stage builds and container networking patternsManage Docker Compose orchestrations for multi-service applicationsEstablish best practices for container security and resource limitsDatabase & API Development:Administer PostgreSQL databases (schema design, migrations, performance tuning)Design and implement REST APIs using Flask or Django for data access and tool integrationDevelop 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 optimizationApplication Development:Build and maintain internal full-stack web applications using Flask/Django backendsSupport React frontends for internal tools (understanding of React workflows helpful)Integrate APIs with data science workflows and experimental data pipelinesEnsure code quality through testing, review processes, and documentationCollaboration & OwnershipWork closely with data scientists and AI researchers to containerize and deploy their toolsOwn projects end-to-end: from repository setup to production deploymentCollaborate with the Head of Digital and Data to shape infrastructure strategyDocument systems, processes, and architectural decisions for knowledge sharingProvide troubleshooting support and implement timely solutions for infrastructure issues Who You Are 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 infrastructure as code Ownership mentality: Can plan, execute, and maintain projects independently with minimal supervision Bonus qualifications:Frontend development experience (React or similar frameworks)Experience with resource management systems (Slurm or equivalent)Exposure to bioinformatics or scientific computing platformsFamiliarity with monitoring tools (Prometheus, Grafana, ELK stack)Experience scaling systems in research or biotech environmentsWhat We OfferUnlimited employment and 30 days leaveFlexible work hours, work-life balanceOpportunity to build BioCopy’s AI/ML capabilities at a pivotal stage of growthClose integration with wet-lab teams and real experimental feedback loopsWork on cutting-edge problems in TCRm design and pHLA targetingA collaborative, low-bureaucracy environment where your ideas directly shape strategy.Competitive compensation packageModern office & lab environment in the Freiburg region with flexible working optionsCorporate Fitness
You will be redirected to the company's ATS