1006 English-speaking jobs in Berlin

Lead a team of six in Cloud Infrastructure and Security for a global marketplace on AWS and GCP. Own end-to-end platform reliability, cost-efficiency, and security posture.

Product Designer owns the end-to-end experience of a B2B SaaS AI operating layer. Responsibilities include journey mapping, designing core surfaces (desktop/mobile/admin), building the design system from scratch, and managing in-app communication. Requires 7+ years in product design.

SDE-I role involving designing, building, and operating scalable, cloud-native solutions. Responsibilities include code reviews, maintaining distributed systems, and leveraging AI tools. Requires a relevant degree and programming language experience.

Software Dev Engineer focusing on Embedded Development. Design, build, and operate scalable, fault-tolerant distributed systems. Requires experience with RTOS, C/C++, and related embedded technologies.

Business Intelligence Engineer Intern role involves developing analytical solutions, building data pipelines, reports, and dashboards. Requires SQL, scripting (Python, Java, or R), and a Bachelor's degree in a related field.

Software Dev Engineer Intern role involves designing, building, and operating scalable services. Intern will own the code lifecycle, collaborate on complex problems, and use modern technology to impact millions of customers.

SDE Intern role involves designing, building, and operating scalable, cloud-native services. Intern owns the full code lifecycle, collaborating on innovative products and contributing to technical documentation.

Software Dev Engineer to design, build, and operate scalable, cloud-native services. Responsibilities include code reviews, maintaining resilient distributed systems, and leveraging GenAI. Requires a degree in a STEM field and experience with C, C++, or Rust.

PhD students are sought for Applied Scientist Intern roles to design and implement state-of-the-art solutions for production systems. Work involves developing ML, NLP, or LLM-based technologies across various domains.

Software Developer role building specialized applications for fuel-efficient aviation. Requires 5+ years in software development, 2+ years with AWS, and strong C#/.NET experience. Focus on scalable web apps and serverless architecture.

Design and automate core Finance processes, including Quote-to-Cash, Procure-to-Pay, and Record-to-Report, while leading ERP rollout and IT transformation. Requires 6+ years in Finance Systems with technical fluency in SQL/Python and AI application.

Head of Product Management for the Enablement Platform. Manage roadmap and strategy for critical mobile platform capabilities, serving engineering and product teams. Requires experience in Agile, mobile platforms (iOS/Android), and defining data-linked KPIs.

Design end-to-end agentic and generative AI solutions for enterprise environments. Architect cloud and data platforms on AWS, Azure, GCP, and MarTech platforms. Requires extensive experience with agentic AI frameworks.

Design marketing data architectures across CDPs, cloud platforms, and activation layers. Define data modeling and identity strategies for personalization and attribution. Lead data architecture in MarTech transformation programs.

Support IT infrastructure by operating and optimizing environments using Azure, Kubernetes, and GitLab CI/CD. Resolve incidents, manage Windows/Linux systems, and automate workflows with Ansible.

Principal AI Infrastructure Architect sets technical vision for large-scale AI/ML compute infrastructure. Own complex architecture decisions across compute, networking, and storage, driving cost-optimized, production-ready systems.

Lead business process design and workflow automation for marketing operations clients. Configure and implement Adobe Workfront and design automation scenarios to create scalable, data-driven customer experiences.

Architect, design, and implement Workday Extend use cases for HCM & Financials. Lead teams in developing Workday Extend applications and solve complex integration problems. Requires hands-on Workday Extend experience.

Architect end-to-end Workfront solutions and build Fusion automation connecting to platforms like AEM, Marketo, and Salesforce. Requires hands-on Workfront configuration and process orientation.

Design and optimize AI/ML infrastructure, including GPU clusters and distributed training environments. Architect, deploy, and monitor AI systems across cloud and on-premises platforms. Requires coding proficiency and strong understanding of AI/ML and computing infrastructure.