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About your tasks: Drive modularization and continuously evolve a scalable iOS architecture . Define, implement, and refine technical standards and architectural guidelines . Improve CI/CD reliability, build performance , and release processes . Strengthen testing strategy and establish strong quality foundations across teams. Improve app stability, performance, and overall technical health . Review and guide critical architectural decisions across multiple teams. Reduce technical debt strategically while enabling product teams through platform improvements . About you: You have strong expertise in Swift and experience working on large-scale production apps . You bring deep understanding of modular architecture and scalable app structures . You have hands-on experience with Clean Architecture, MVVM, or similar patterns. You understand modern concurrency concepts and memory management in iOS. You have solid experience with unit testing and improving test coverage . You have worked with CI/CD pipelines and understand release processes . You collaborate effectively across teams and bring strong debugging and performance optimization skills. About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. And many more :)

About Your Tasks: App Development & Architecture Lead the design and development of scalable, maintainable Android applications using modern Android architecture (MVVM / MVI / Clean Architecture) Drive adoption of Jetpack Compose for building declarative, responsive UIs Ensure best practices in modularization, code quality, testing, and performance optimization, define and evolve the app’s architecture, ensuring scalability and long-term maintainability Collaboration Work closely with product managers, designers, and backend engineers to deliver high-quality, user-centric features Quality & Delivery Own the delivery pipeline, including CI/CD, testing (unit/UI), and release management Ensure app stability through monitoring, logging, and performance tracking tools Documentation Maintain clear and comprehensive documentation for architecture decisions, features, and technical processes Continuous Learning & Innovation Stay up to date with the latest Android trends, tools, and frameworks Proactively introduce improvements to the codebase, tooling, and development processes About You: Extensive experience in Android development with strong expertise in Kotlin Deep understanding of the Android SDK and modern Android development practices Hands-on experience with: Jetpack Compose Coroutines & Flow Dependency Injection (Hilt/Dagger) REST APIs (Retrofit/OkHttp) Strong knowledge of clean architecture principles, design patterns, and modularization Experience with testing (JUnit, Espresso, MockK) and writing maintainable, testable code Familiarity with CI/CD pipelines and modern development workflows Proven ability to take ownership of complex projects and deliver high-quality results independently Strong focus on performance, scalability, and user experience About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. And many more :)

About the tech stack: Modern Machine Learning frameworks, Generative AI technologies, scalable data platforms, cloud infrastructure and MLOps tooling that support the full lifecycle of production AI systems. About your tasks: Design, build and evolve scalable ML and generative AI systems that deliver measurable value in customer-facing and operational use cases. Develop robust end-to-end pipelines for training, evaluation, deployment, monitoring, and continuous improvement of AI solutions in production. Collaborate closely with product, engineering, data, and business stakeholders to bring AI capabilities into core digital healthcare systems and operations Explore and implement cutting-edge AI advancements to continuously enhance innovation and solution effectiveness Take ownership as AI Technical Owner, shaping the technical roadmap and driving the full AI lifecycle across strategic initiatives Contribute to and adhere to our governance, experimentation, model quality, versioning, observability, and compliance practices in a regulated environment About you: Strong experience in building production-grade Machine Learning and Generative AI solutions, with a focus on production-ready systems You enjoy working at the intersection of technology, healthcare, and business impact A mindset of ownership and curiosity, with a drive to explore new AI innovations You value collaboration and don’t like solving complex challenges on your own About your benefits: In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits: Work from Home : If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Personal development : Grow! We support and encourage your individual development through various in- and external trainings. Redcare events : We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties. Corporate pension plan : We offer a company pension scheme and have a dedicated external consultant to offer you the best guidance and advice. Mental Health : Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge.

About the role: Design and implement complex features across our web-shop, translating business requirements into scalable and maintainable solutions . Extend and build backend services across domains, ensuring clean interfaces and well-defined API contracts. Contribute to frontend development using ReactJS , with attention to performance and maintainability. Create and consume APIs following contract-first principles and ensuring backward compatibility. Implement scalable asynchronous communication patterns using RabbitMQ . Identify and address performance bottlenecks, reliability gaps, and technical debt within your scope. Take full ownership of your features: design, implementation, testing, deployment, and post-release monitoring. Participate actively in code reviews and architectural discussions , contributing thoughtful technical input. Support and mentor less experienced engineers through collaboration and example. Contribute to the continuous improvement of development processes and engineering standards . About You: You demonstrate seniority through impact, ownership, and sound technical judgment . You are comfortable working independently on complex tasks while aligning with the broader team architecture . You have strong experience building and operating scalable services with Node.js and TypeScript. You have solid expertise in RESTful API design, HTTP semantics, and distributed system fundamentals. You understand asynchronous communication patterns and event-driven architecture . You bring a DevOps mindset and are comfortable with Docker, Kubernetes, CI/CD pipelines, and production monitoring. You proactively identify risks and trade-offs , and communicate them clearly. You collaborate effectively with product, design, and other engineering teams . You value open feedback, continuous learning , and shared ownership . About your benefits: In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits: Welcome days: We want you to feel at home with us from the very first day. Therefore, we welcome you with our comprehensive onboarding program. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mental Health: Get quick and professional help from psychologists of nilo if you feel overwhelmed in private or professional life. Anonymous and free of charge. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more.

About your tasks: Work with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and business stakeholders. Provide technical leadership for our Recommendations product, helping define the architecture, technical direction, and longer-term evolution of our machine learning systems. Design, build, and operate machine learning systems for recommendation use cases such as candidate generation, ranking, personalization, product discovery, and recommendation optimization. Translate ambiguous business and product requirements into scalable ML solutions, balancing model quality, latency, reliability, scalability, and maintainability. Lead technical design and architectural decisions for complex ML initiatives and help the team navigate trade-offs across modeling, data, infrastructure, and product requirements. Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement. Bring models into production using our cloud-based stack and ensure they are reliable, observable, and maintainable over time. Identify technical risks, gaps, and opportunities across the recommendation stack and drive improvements that increase the effectiveness and scalability of the overall system. Communicate technical decisions, assumptions, limitations, and uncertainty clearly to product, engineering, and business stakeholders. Raise the technical bar through design reviews, mentoring, knowledge sharing, and by establishing ML engineering standards and best practices within and beyond the team. About you: You have extensive hands-on experience as a Machine Learning Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience. You have built and operated production-grade machine learning systems, pipelines, or model-based products and have taken technical ownership of complex ML systems. You have strong experience working with recommender systems, ranking, personalization, or related product discovery systems. You have demonstrated technical leadership, influencing architecture, engineering practices, and technical direction beyond your own individual contributions. You are comfortable working with complex data and understand common ML failure modes such as data leakage, feedback loops, distribution shifts, and misleading offline metrics. You can reason about system-level trade-offs and make pragmatic technical decisions across model quality, latency, reliability, scalability, and maintainability. You enjoy working close to the business and can explain complex technical topics and trade-offs clearly to technical and non-technical stakeholders. You take ownership of ambiguous, cross-cutting problems, work proactively, and can drive technical initiatives across team boundaries. You value collaboration, give and receive feedback openly, and actively help other engineers grow through mentoring and technical guidance. About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. And many more :)

About your tasks: Work with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and business stakeholders. Provide technical leadership for our Recommendations product, helping define the architecture, technical direction, and longer-term evolution of our machine learning systems. Design, build, and operate machine learning systems for recommendation use cases such as candidate generation, ranking, personalization, product discovery, and recommendation optimization. Translate ambiguous business and product requirements into scalable ML solutions, balancing model quality, latency, reliability, scalability, and maintainability. Lead technical design and architectural decisions for complex ML initiatives and help the team navigate trade-offs across modeling, data, infrastructure, and product requirements. Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement. Bring models into production using our cloud-based stack and ensure they are reliable, observable, and maintainable over time. Identify technical risks, gaps, and opportunities across the recommendation stack and drive improvements that increase the effectiveness and scalability of the overall system. Communicate technical decisions, assumptions, limitations, and uncertainty clearly to product, engineering, and business stakeholders. Raise the technical bar through design reviews, mentoring, knowledge sharing, and by establishing ML engineering standards and best practices within and beyond the team. About you: You have extensive hands-on experience as a Machine Learning Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience. You have built and operated production-grade machine learning systems, pipelines, or model-based products and have taken technical ownership of complex ML systems. You have strong experience working with recommender systems, ranking, personalization, or related product discovery systems. You have demonstrated technical leadership, influencing architecture, engineering practices, and technical direction beyond your own individual contributions. You are comfortable working with complex data and understand common ML failure modes such as data leakage, feedback loops, distribution shifts, and misleading offline metrics. You can reason about system-level trade-offs and make pragmatic technical decisions across model quality, latency, reliability, scalability, and maintainability. You enjoy working close to the business and can explain complex technical topics and trade-offs clearly to technical and non-technical stakeholders. You take ownership of ambiguous, cross-cutting problems, work proactively, and can drive technical initiatives across team boundaries. You value collaboration, give and receive feedback openly, and actively help other engineers grow through mentoring and technical guidance. About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. And many more :)

About your tasks: Work with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and business stakeholders. Provide technical leadership for our Recommendations product, helping define the architecture, technical direction, and longer-term evolution of our machine learning systems. Design, build, and operate machine learning systems for recommendation use cases such as candidate generation, ranking, personalization, product discovery, and recommendation optimization. Translate ambiguous business and product requirements into scalable ML solutions, balancing model quality, latency, reliability, scalability, and maintainability. Lead technical design and architectural decisions for complex ML initiatives and help the team navigate trade-offs across modeling, data, infrastructure, and product requirements. Develop robust ML pipelines for feature engineering, training, evaluation, deployment, monitoring, and continuous model improvement. Bring models into production using our cloud-based stack and ensure they are reliable, observable, and maintainable over time. Identify technical risks, gaps, and opportunities across the recommendation stack and drive improvements that increase the effectiveness and scalability of the overall system. Communicate technical decisions, assumptions, limitations, and uncertainty clearly to product, engineering, and business stakeholders. Raise the technical bar through design reviews, mentoring, knowledge sharing, and by establishing ML engineering standards and best practices within and beyond the team. About you: You have extensive hands-on experience as a Machine Learning Engineer, ML-focused Software Engineer, or Data Scientist with strong engineering experience. You have built and operated production-grade machine learning systems, pipelines, or model-based products and have taken technical ownership of complex ML systems. You have strong experience working with recommender systems, ranking, personalization, or related product discovery systems. You have demonstrated technical leadership, influencing architecture, engineering practices, and technical direction beyond your own individual contributions. You are comfortable working with complex data and understand common ML failure modes such as data leakage, feedback loops, distribution shifts, and misleading offline metrics. You can reason about system-level trade-offs and make pragmatic technical decisions across model quality, latency, reliability, scalability, and maintainability. You enjoy working close to the business and can explain complex technical topics and trade-offs clearly to technical and non-technical stakeholders. You take ownership of ambiguous, cross-cutting problems, work proactively, and can drive technical initiatives across team boundaries. You value collaboration, give and receive feedback openly, and actively help other engineers grow through mentoring and technical guidance. About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. Personal development: Grow! We support and encourage your individual development through various in- and external trainings. And many more :)

About your tasks: Build and operate containerized services using orchestration platforms such as Kubernetes. Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services. Develop maintainable and well-tested Python code for production services, automation, and internal tooling. Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration. Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle. Contribute to technical designs and architecture decisions, and participate in code reviews. Integrate automated security checks into delivery pipelines and follow secure development and operations practices. About you: Practical experience in MLOps, DevOps, platform engineering, or software engineering, including deploying and operating ML/AI solutions in production. Solid software engineering skills in Python, including automated testing, version control, and code review. Hands-on experience with Docker and container orchestration platforms such as Kubernetes. Experience with CI/CD tools such as GitHub Actions or Jenkins. Familiarity with ML lifecycle practices such as model packaging, versioning, validation, deployment, and monitoring; experience with tools such as MLflow or Kubeflow is welcome. A solid understanding of software architecture and secure software development and delivery practices. About your Benefits: In order to provide our employees with the best possible support for their individual needs, we offer a variety of attractive benefits: Work from Home: If your job doesn't require you to be in the office, you can be flexible about where you work – even up to 20 days a year from anywhere within the EU. Redcare Events: We promote team cohesion through creative team events and celebrate our joint successes at regular events. Mental Health: If you feel overwhelmed privately or professionally, you can get professional support from a psychologist quickly and easily via nilo - anonymously and free of charge. Personal development: We are all constantly learning. That's why we support and promote your professional development through internal and external training opportunities and help you to develop further. Mobility: Your commute to work is important to us. That's why we provide our employees with a fully funded Deutschlandticket, which you can use at any time. Sport & Health: Your well-being is our top priority. That's why we offer you various ways to do something for your health. Benefit from an M membership of the Urban Sports Club and take advantage of a wide range of sports to suit your interests.