Roche

We're looking for an expert Android Design System Engineer to lead the development of reusable mobile components and deliver consistent, accessible, high-quality user experiences across Android applications.

🎯 Responsibilities

• Architect, develop, and maintain mobile Design System components and interaction patterns in line with platform strategies, governance policies, and standards.
• Write and review clean, testable, scalable Kotlin code using best practices and established design patterns.
• Maintain code quality through automated testing, code reviews, and continuous integration pipelines.
• Provide technical assessments for mobile design component development, ensuring solutions are high quality, customer-centric, future-focused, and easy to use.
• Contribute actively to the architecture of mobile applications in line with platform strategies, governance policies, and standards.
• Collaborate with design and development teams to align goals, scope, and business outcomes.
• Create and maintain documentation for mobile components.
• Support the mobile development community with adoption, implementation, testing, and maintenance of the Design System.
• Work with project leaders, architects, designers, and front-end developers to understand their needs and resolve questions.
• Champion Design System adoption together with clients and usability engineers.
• Brainstorm improvements and propose innovative ways to increase community engagement.
• Evaluate new technologies, patterns, and frameworks for potential adoption.
• Contribute to design reviews, prototypes, and mobile user experience standards.

🤖 AI-powered Design System

• Create documentation for AI agents so Design System users can build applications with the library through AI-assisted coding.
• Create test applications using AI-assisted coding to verify library compatibility with AI tools.
• Document all components in Figma Code Connect.

🛠️ Requirements

• At least 5 years of experience as an Android Developer.
• Expertise in Kotlin, Jetpack Compose, and Git.
• Experience with Material Design 3 for Jetpack Compose and Design Systems in general.
• Strong experience building reusable, testable, composable UI components.
• Proficiency in writing unit tests, screenshot tests, and Compose UI tests.
• Deep knowledge of accessibility best practices in Jetpack Compose.
• Knowledge of right-to-left (RTL) interfaces.

➕ Nice to have

• Strong interest in modern technology trends and best practices.
• Curiosity about technologies beyond Android, including iOS development and cross-platform solutions.
• Experience with inner-source products.
• Experience engaging with developer communities, managing communities, or contributing actively to open-source projects.
• Experience creating third-party libraries.
• Familiarity with Dokka and documentation deployment.
• Familiarity with GitHub Actions.
• Knowledge of Design Tokens and Figma Tokens, including their use in custom Design Systems.
• Experience working in a regulated environment.
• Knowledge of JavaScript or TypeScript.

💰 Compensation

• The minimum salary for this position is €3,843 gross per month.
• A higher offer may be available based on experience and current market conditions.

We're looking for a Cloud DevOps Infrastructure Engineer to solve technical business problems, contribute to DevOps and infrastructure projects, and help build reliable, secure, and scalable cloud services.

🎯 Responsibilities

• Engage in and improve the full lifecycle of platforms and services, from inception and design through deployment, operation, and retirement.
• Apply software engineering principles to build and manage large-scale IT infrastructure products.
• Abstract infrastructure complexity by providing self-service tools and APIs for developers.
• Implement and maintain CI/CD pipelines and develop self-healing features.
• Apply problem-solving and decision-making skills to address issues affecting development, deployment, and performance.
• Ensure IT infrastructure services meet agreed Service Level Indicators (SLIs), Objectives (SLOs), and Agreements (SLAs), in compliance with quality assurance requirements.
• Monitor and resolve incidents, support sustainable incident response, and conduct blameless postmortems.
• Contribute to Disaster Recovery execution plans.
• Collaborate with developers, Managed Services suppliers, and vendors to improve development velocity and service reliability.
• Ensure solutions comply with quality and regulatory standards, while applying cost, compliance, and security best practices.
• Contribute to audit activities, manage ITSM processes, and maintain knowledge of emerging technologies.
• Collaborate effectively with diverse, virtual teams across locations and cultural backgrounds to achieve project and product goals.

🛠️ Requirements

• Demonstrated ability to research technical topics, learn new tools quickly, and develop expertise in cloud and DevOps practices.
• Ability to work effectively within a team and actively participate in discussions and code reviews.
• Basic understanding of core AWS services, including EC2, S3, VPC, and IAM.
• General knowledge of multi-account concepts and governance mechanisms, including AWS Organizations and policies.
• Hands-on experience building cloud applications with Terraform or CDK.
• Familiarity with GitLab or GitHub, software development lifecycle practices, and CI/CD.
• Hands-on experience with scripting languages such as Python or Bash.
• Experience with testing frameworks such as Pytest.
• Familiarity with Agile methodologies, including SAFe, as well as related principles, processes, and tools.
• Openness to using AI assistants to support learning, code generation, and debugging.

➕ Additional Qualifications

• Familiarity with incident response, ITSM processes, and conducting blameless postmortems.
• A proactive approach to troubleshooting issues and identifying potential solutions.

We're looking for a collaborative, technically strong Senior Machine Learning Engineer to lead the architecture, development, and deployment of machine learning platforms and production workflows that help advance medicine.

🎯 Responsibilities

• Act as the central technical liaison between project stakeholders and Data Science teams.
• Own the integration and deployment of algorithms and machine learning models into production workflows.
• Design, build, and scale cloud-native and hybrid data and machine learning platforms using MLOps practices.
• Plan, architect, and develop long-term enterprise tooling and infrastructure for machine learning research, training, and evaluation.
• Own end-to-end software and data architecture for Data Science initiatives.
• Independently define, implement, and test complex technical solutions.
• Act as a technical lead and subject matter expert for machine learning platforms.
• Gather requirements from data-focused teams and continuously improve platform capabilities.
• Mentor peers and help foster a culture of engineering excellence.
• Collaborate on complex data projects and navigate evolving technical requirements.

🛠️ Requirements

• Degree in Computer Science, Software Engineering, or a closely related technical field.
• Extensive professional experience in software engineering with Python.
• Deep understanding of application architecture and design patterns.
• Strong commitment to coding best practices, including TDD and ATDD.
• Experience applying rigorous testing strategies and effective version control.
• Strong understanding of complete machine learning workflows and hands-on experience provisioning the infrastructure required to support them.
• Significant experience with storage technologies and their trade-offs, including relational databases, NoSQL databases, and object storage.
• Solid knowledge of and practical experience with HPC (High-Performance Computing).
• Experience with AWS-based data engineering and analytics solutions.
• Deep familiarity with the Python data ecosystem, including NumPy, Pandas, and Scikit-learn.
• Proficiency in Linux environments.
• Hands-on experience with modern data integration, ETL, and MLOps tools.
• Ability to collaborate effectively, work through ambiguity, and mentor others.

➕ Nice to have

• Domain knowledge or a strong interest in the life sciences sector, including sequencing, PCR, bioinformatics, or digital healthcare.
• Experience building, deploying, or working with Large Language Models (LLMs) and agentic systems.
• Official cloud certifications, such as AWS Certified Solutions Architect – Professional.
• Experience working successfully in large, globally distributed, or international enterprise environments.

We're looking for a Senior Backend Engineer (Python / FastAPI) and Scrum Master to build robust, scalable APIs and services that power digital products in the life sciences sector.

🎯 Responsibilities

• Design, build, and maintain high-performance, asynchronous backend services and robust RESTful APIs
• Architect, deploy, and manage scalable, secure cloud infrastructure using Infrastructure as Code (IaC) principles
• Design efficient database schemas, manage complex data relationships, execute seamless migrations, and optimize queries for massive datasets
• Build and maintain data pipelines that ingest, normalize, and process large volumes of structured and unstructured scientific and bioinformatics data
• Write clean, testable code and implement comprehensive automated testing
• Maintain reliable CI/CD pipelines and champion engineering excellence, code quality, and maintainability
• Partner with UX and Frontend teams to establish seamless API integrations
• Collaborate with Data Scientists to bring machine learning models into production workflows
• Work with complex data structures, establish clear API boundaries, and ensure high reliability as platforms scale

🔄 Scrum Master Responsibilities (20%)

• Act as a servant leader for the development team
• Apply Scrum principles to facilitate progress, resolve conflicts, and increase transparency
• Remove blockers and empower the team to deliver effectively
• Apply proven Agile techniques to drive continuous improvement

🛠️ Requirements

• 5+ years of software engineering experience, with Python as your primary language
• Strong software engineering fundamentals, including robust API design and experience building and scaling RESTful systems
• Solid understanding of relational databases, data modeling, schema migrations, and query optimization
• Proven experience building, deploying, and managing scalable infrastructure in cloud environments, ideally using Infrastructure as Code (IaC)
• Strong focus on code quality, automated testing, and maintainability within CI/CD pipelines
• Ability to make progress in ambiguous environments and take ownership of problems end to end, from understanding user needs to delivering production-ready solutions
• Hands-on experience with, or a strong foundation to quickly adapt to, the following technologies: FastAPI, PostgreSQL, SQLAlchemy, Alembic, AWS S3, AWS Aurora, AWS Fargate, AWS Lambda, AWS CDK, pytest, and NumPy

🤝 Scrum Master Skills

• First-level Scrum Master certification, such as CSM or PSM I
• At least two years of experience as a Scrum Master for a software development team applying Scrum principles, practices, and theory
• Strong knowledge of servant leadership, facilitation, situational awareness, conflict resolution, continual improvement, empowerment, and increasing transparency
• Knowledge of well-documented patterns and techniques for addressing the intentional gaps in the Scrum framework

➕ Nice to have

• Domain knowledge or a strong interest in the life sciences sector, particularly sequencing, PCR, bioinformatics, or digital healthcare
• Direct experience with AWS HealthOmics or with building data pipelines for genomic or biological data
• Background in data-heavy or AI-integrated product architectures
• Interest in how AI and machine learning systems behave in production
• Experience working in large, globally distributed enterprise environments, such as Pharma or MedTech

We're looking for a skilled Customer Integration Engineer to connect internal Business Units with the Roche Cloud Platform on AWS and help them make the most of its capabilities.

🎯 Responsibilities

• Support assigned Business Units, such as gRED and pRED Computational Science CoE and Pharma Commercial, as their primary point of contact.
• Understand Business Unit needs and translate technical pain points into actionable platform features, improvements, or fixes.
• Act as the primary “how-to” expert for Roche Cloud Platform AWS capabilities.
• Support the implementation, migration, and troubleshooting of complex cloud use cases.
• Manage integration for specific, defined Business Units and contribute to their satisfaction and efficiency.
• Work with the Roche Cloud Platform Managed Service Provider on incident resolution.
• Solve complex technical challenges using existing platform tools.
• Collaborate with Business Unit engineers and Product Owners to address technical needs and shape the immediate roadmap.
• Provide support continuity by taking over major incidents from colleagues in other time zones.
• Research, learn, innovate, and share knowledge continuously.

🛠️ Requirements

• Proven experience solving technical business problems and contributing to projects that require strong DevOps and cloud expertise.
• Strong AWS practitioner skills and the ability to understand the technical context and terminology of assigned Business Units, such as Computational Science.
• Expertise in building and managing platforms or multi-tenant applications on AWS, including account provisioning, landing zone deployment, customizations, and exposing platform functionality.
• Strong foundation in infrastructure as code development, testing, and deployment using Terraform or CDK.
• Experience applying DevOps principles and platform engineering practices to build efficient, highly scalable solutions.
• Familiarity with GitLab, GitHub, software development lifecycle practices, and CI/CD.
• Hands-on experience with scripting languages such as Python or Bash, and testing frameworks such as Pytest.
• Familiarity with Agile methodologies, including SAFe, as well as related principles, processes, and tools.
• Ability to collaborate effectively with diverse, cross-functional, and geographically distributed teams.

🤖 Additional qualifications

• Familiarity with creating and using AI agents and integrating them to support DevOps tasks.
• Strong ability to practice sustainable incident response, including managing ITSM processes and conducting blameless postmortems.

📌 Role focus

• Manage integration for defined Business Units.
• Act as the primary platform expert for assigned Business Units.
• Drive increased Business Unit efficiency through effective cloud integration and support.
• Translate technical challenges into practical platform improvements and fixes.