Jobs at Zühlke Group

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.

Connects business and technology on complex client projects by identifying customer and user needs, defining requirements, prioritizing backlogs, analyzing processes and journeys, and developing solution concepts. Collaborates with developers, UX designers, architects, and interdisciplinary teams in agile and traditional settings. May progress into Proxy Product Owner or Delivery Lead responsibilities while working across industries and client environments.

Lead the design and rollout of a company-wide AI capability framework and learning curriculum. Define skills, proficiency levels, learning pathways, assessments, certifications, and digital badges. Coordinate senior stakeholders, technical experts, internal teams, external partners, pilots, and international implementation activities. Establish learning design standards, align development with career frameworks, measure effectiveness, and ensure the programme is practical, scalable, and sustainable.

Lead Embedded Software Engineer responsible for developing embedded software and contributing to device and systems engineering projects. The role is with a global transformation consultancy serving complex, regulated industries. The provided description does not specify particular programming languages, platforms, technical responsibilities, experience requirements, compensation, travel, or clearance requirements.

Architect and implement scalable data and AI platforms across cloud and on-premises environments. Lead data engineering, analytics, machine learning, generative AI, and agentic systems into production while applying governance, security, observability, reproducibility, and quality principles. Advise stakeholders, contribute to consulting and pre-sales, develop internal capabilities, mentor colleagues, and shape the company’s data and AI offerings.

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.

Owns end-to-end verification strategy for control valve, energy valve, EPIV, and data center cooling solutions. Leads system-level verification, reliability, endurance, performance, integration, and acceptance testing across distributed teams and external partners. Supports release readiness, defect triage, risk assessments, and Go/No-Go decisions. Requires test management experience, automation skills, networking and cybersecurity knowledge, agile expertise, and fluency in German and English.

Lead and support consulting engagements involving digital strategy, product and business model innovation, Data & AI transformations, and IT strategy. Advise senior clients, translate complex business challenges into actionable solutions, develop data operating models and governance, manage stakeholders, and deliver high-quality analyses and presentations across interdisciplinary teams.

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.

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.

Provides senior consulting and technical leadership for cloud adoption, optimization, migration, and engineering transformation. Advises clients, leads architecture and discovery sessions, prototypes solutions, guides delivery programs, and makes pragmatic technology decisions. Partners across software, platform, data, AI, security, and operations teams while improving DevSecOps, automation, infrastructure as code, resilience, and responsible AI practices. Mentors colleagues and supports consulting, presales, proposals, and client transformation engagements.

Operate and maintain business-critical cloud platforms in production, including monitoring, incident response, root-cause analysis, CI/CD, infrastructure as code, releases, rollbacks, security baselines, observability, and controlled change management. Collaborate with client engineering and security teams, participate in on-call support, and apply AI-assisted operations tooling. The role requires hands-on experience with cloud platforms, Kubernetes, IAM, scripting, and regulated production environments.

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.

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.

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.

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.

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.