5827 mainframe germany English-speaking jobs in Germany

**Locations** Oranienburg, Germany **Worker Type** Employee **Worker Sub-Type** Regular **Time Type**

Location: Stuttgart, Germany Type: Full-time, hybrid (1‑2 days remote work per week) Level: Senior

**Locations** Oranienburg, Germany **Worker Type** Employee **Worker Sub-Type** Regular **Time Type**

As we accelerate our retail expansion across Germany and the UK, we're looking for a Sr.

we do not provide visa sponsorship, you need to have EU citizenship and/or a valid work permit for Germany

Leads global corporate strategy projects, defining and implementing company strategy. Manages cross-functional teams to identify growth opportunities and improve profitability. Drives strategic planning, conducts market research, and acts as a liaison between senior leadership and stakeholders. Implements and develops the M&A strategy in collaboration with the M&A team and divisions.

This role is exclusively based in our Berlin, Germany office.

Support the Voith Hydro Support Team with tasks related to the Engineering Base (EB) CAE system. Responsibilities include updating technical diagrams, managing system texts and dictionaries, creating work templates, and revising training materials. The ideal candidate is a student in electrical engineering, automation technology, mechatronics, or a related field with an interest in CAE systems and strong English communication skills.

Leads global investment review process for capital expenditures, R&D, and IT projects, including financial analysis, risk assessment, and strategic alignment. Develops and implements global resource allocation framework. Monitors post-investment performance and acts as a strategic partner to Executive Leadership.

Intern (m|f|d) - Research & Development - Stock Preparation supports research and development projects in sustainable and efficient paper production. Responsibilities include developing and evaluating test rigs, planning and conducting experiments, and supporting external trials.

Research and develop innovative methods for fusing underwater acoustic data with vessel movement data to detect maritime security anomalies. Design and implement AI models for anomaly detection in time series and geospatial data. Validate models using field experiment and long-term measurement datasets.

Manage the entire product lifecycle of hardware platforms, including PCIe HSMs, appliances, and other form factors. Collect requirements, set strategy, manage implementation, and collaborate with stakeholders to drive technical strategy and product roadmap.

As a Scrum Master, you will guide and coach a Scrum Team in adopting Agile practices to deliver exceptional products and services. You will facilitate Scrum events, remove roadblocks, and empower the team to become self-organized. You will also collaborate with stakeholders to influence decisions and support organizational goals.

Design and build scalable data pipelines, automate insight delivery, and empower AI workflows. Expertise in data engineering, Python, SQL, API development, cloud platforms, and DevOps is required. Experience with AI/ML libraries and a passion for innovation are essential.

Design, build, and manage scalable data pipelines and automated systems for insight delivery. Develop APIs and integrate with AI workflows.

Design, build, and maintain backend services and REST APIs for AI-enabled solutions. Deliver cloud-native microservices using Docker and Kubernetes. Build and maintain CI/CD pipelines with automated tests and secure delivery practices. Integrate and standardize API exposure via gateway patterns. Establish and maintain observability standards using Azure Monitor and Application Insights. Diagnose and resolve complex issues across microservices, clusters, and pipelines. Embed security and resilience best practices. Collaborate with ML Engineers, Platform Engineers, AI Architects, and DevOps.

Support the development and enhancement of global AI governance, including frameworks, processes, and toolsets. Review AI use cases and systems against industry best practices and regulatory expectations. Define key risk indicators and performance metrics for AI security governance. Serve as the first point of contact for AI specific technical safeguards in vendor risk assessments. Contribute to global security awareness programs with insights into responsible and secure AI practices.

As a Platform Engineer, you will ensure the reliable operation and continuous improvement of the IDS Market Data Platform. Responsibilities include system monitoring, incident resolution, maintenance, and vendor integration. You will also support the migration to a cloud-based system. Strong Perl programming, Linux, and SQL skills are required.

Platform Engineer to build and operate cloud infrastructure for AI-enabled solutions. Responsibilities include implementing and managing Kubernetes clusters, CI/CD pipelines, Infrastructure as Code, observability systems, and security controls. Requires 5+ years of experience in platform engineering, SRE, or DevOps with strong Kubernetes, Azure cloud services, and CI/CD experience.

Designs scalable, cross-platform customer journeys, translating API logic into intuitive UI experiences. Creates high-fidelity demos and vision prototypes to support sales and partner acquisition. Contributes to modular design frameworks for efficient product launches.