Jobs at Zühlke Group

Develop and maintain full-stack web applications using Java, Spring Boot, React, Next.js, and TypeScript. Build APIs and microservices, collaborate on technical solutions, own features through deployment and production support, and contribute to architecture, testing, code reviews, troubleshooting, and continuous improvement. The role requires strong software engineering practices, database knowledge, cloud-native development familiarity, CI/CD experience, and effective collaboration in agile environments.

Analyze and redesign business processes using AI, LLMs, AI agents, RAG, and workflow automation. Build integrations, scripts, prototypes, and production-ready tools; evaluate use cases for feasibility, value, cost, and risk; measure outcomes; document solutions; and coach teams on adopting AI-enabled workflows. The role collaborates with process owners, IT, the CTO office, and business stakeholders in an international environment.

Develop and maintain Java and Spring Boot backend microservices, REST APIs, integrations, messaging flows, and BPMN workflows. Manage PostgreSQL data and schema changes, secure services with OAuth2 and Keycloak, write automated tests, and deploy containerized applications to Kubernetes. Participate in code reviews, CI/CD, monitoring, troubleshooting, and engineering best practices.

Build and maintain high-performance frontend applications using React, Next.js, and TypeScript. Develop responsive, accessible interfaces with MUI, integrate REST or GraphQL APIs, and collaborate with designers. Support containerized deployments in Kubernetes, participate in code reviews, and optimize applications for scalability, usability, performance, and SEO. Contribute to frontend best practices and modern development workflows.

Designs, implements, and maintains scalable data pipelines and architectures across cloud and on-premises environments. The role involves integrating diverse data sources, building and monitoring distributed processing pipelines, estimating performance and costs, collaborating with data scientists on machine learning models, and developing dashboards. Candidates need strong Big Data, cloud infrastructure, distributed systems, Python, and SQL expertise, plus fluency in German and English.

Hands-on senior fullstack developer building backend-led JVM services (Kotlin/modern Java) and responsive React/TypeScript frontends. Design APIs, event-driven workflows, tests, CI/CD pipelines, observability, and contribute across discovery, deployment, production support, and technical decisions while validating AI-assisted tools where helpful.

Leads Data and AI consulting engagements from strategy and use-case discovery through solution delivery and relationship management. Advises clients on transformation roadmaps, AI solutions, data platforms, operating models, and responsible AI topics. Bridges business stakeholders with data scientists, engineers, architects, and developers; supports sales proposals, workshops, thought leadership, and reusable consulting assets. Requires strong consulting, communication, stakeholder management, project management, and Data/AI experience, plus German and English fluency.

Lead client-facing cloud and engineering engagements: shape cloud strategy, architecture, migrations and optimisation; provide technical leadership, prototyping, DevSecOps/IaC guidance, and mentor teams while addressing security, privacy, resilience and AI considerations.

Designs, builds, tests, monitors, and maintains scalable data pipelines and data products. Advises clients on technical data solutions, translates requirements for technical and non-technical stakeholders, and produces high-quality datasets from structured and unstructured sources. Collaborates with architects, software engineers, and data scientists while delivering projects using agile and DevOps practices. Requires experience with cloud data platforms, distributed processing, data architectures, databases, and large-scale data infrastructure, plus fluency in German and English.

Leads consulting engagements that help clients develop and execute Data and AI strategies, identify use cases, build AI solutions and platforms, and drive organizational adoption. Oversees delivery quality, manages stakeholder relationships, supports sales and proposals, leads interdisciplinary teams, and develops reusable consulting assets. Acts as a trusted advisor and thought leader through content, events, and client engagement.

DevOps Engineer responsible for operating production and development environments, resolving incidents, and supporting infrastructure. The role builds and optimizes automation for builds, deployments, testing, and monitoring; promotes DevOps practices; consults customers on infrastructure projects; and collaborates with development teams and hosting providers. Success requires technical hands-on ability, strategic thinking, stakeholder management, strong communication, and fluency in German and English.

Design and implement customer-focused web and enterprise software using Java and modern frontend frameworks. Collaborate with customers and development teams, translate requirements into quality software, contribute across the software lifecycle, and apply DevOps, test-driven development, specification by example, and agile practices. The role requires frequent customer visits, continuous learning, and strong communication in German and English.

Design and implement customer web and enterprise applications using Java and modern frontend frameworks. Translate business requirements into maintainable software, collaborate through pair and mob programming, coach teammates, and support the full software lifecycle with DevOps practices. Automate quality checks using test-driven development, work in agile teams, and stay current with emerging technologies. The role requires frequent customer visits and fluent German and English communication.

Zuhlke is seeking a Lead Data Architect to help clients design and implement data-focused technology solutions as part of multidisciplinary transformation, engineering, and innovation teams. The provided description does not include specific responsibilities, technologies, qualifications, location, salary, travel, or clearance requirements.

Zuhlke is seeking a Principal Data Architect to support technology strategy, digital transformation, and data architecture initiatives for clients across complex and regulated industries. The provided description does not specify detailed responsibilities, qualifications, technologies, compensation, travel, or clearance requirements.

Zuhlke is seeking an Expert Data Engineer focused on Databricks to support client transformation initiatives. The provided description contains limited role-specific responsibilities, qualifications, or project details. The position appears aligned with data engineering and the development of modern data solutions within Zuhlke’s multidisciplinary engineering and innovation teams.

Manage and continuously improve a global endpoint environment across Windows, macOS, Linux, iOS, and Android. Design endpoint configurations, policies, compliance standards, automation, application deployment, and lifecycle processes. Maintain Omnissa Horizon virtual desktops and images, provide advanced technical support, troubleshoot complex issues, contribute to IT projects, and document solutions. Collaborate internationally across Digital Workplace and IT teams to deliver secure, reliable, and efficient workplace services.

As a Principal Data Architect, you'll lead client engagement in data and AI strategies, design impactful architectures, and implement advanced data solutions, while applying agile methodologies and promoting thought leadership in the field.

The role prioritizes driving Data & AI projects, developing tailored offerings, managing implementations, and supporting talent development as a thought leader in the field.

Design and build purpose-built business applications for public-sector clients across the full product lifecycle. Implement features using Java and React, apply DevOps practices, automated testing and GenAI-assisted development, collaborate closely with customers and cross-functional teams, and travel to client sites in Switzerland and Germany.