1291 English-speaking jobs in Berlin

Senior Software Engineer to deliver end-to-end personalization solutions across backend services, React frontends, and SDK tools. Requires experience with high-traffic APIs, TypeScript, and serverless architectures.

Lead SRE Engineer to design and deliver tools for quality, scalability, and resiliency of the Trade Entitlements system. Requires Java engineering experience and expertise in the SRE stack, including Prometheus and Grafana.

Develop end-to-end applications for merchant solutions using Core Java and micro-service architectures. Contribute to platform design and adopt modern engineering practices within a cloud-based, high-availability environment.

Lead WebUI Engineer for the Autobahn Platform, building a React component framework and microfrontend framework. Responsibilities include designing, developing, and ensuring quality for core platform channels.

Lead Engineer role focusing on Client Access platforms. Responsibilities include ensuring production supportability, designing monitoring, and leading incident analysis for high-volume payment services. Requires Java/Kotlin experience.

AI Forward Deployed Engineer develops GenAI solutions and advises customers. Requires 4+ years building GenAI apps (RAG, LangChain) and production ML deployments on cloud platforms.

Senior Staff Software Engineer to design and maintain robust backend systems for Databricks workspaces. This role involves building high-QPS, low-latency platforms, providing technical leadership, and solving large-scale distributed systems challenges.

Designs, develops, and implements AI & Machine Learning solutions for clients. Builds and optimizes data pipelines, ensuring scalability and reliability. Collaborates with teams to deploy AI models and implement data engineering best practices.

Junior Kotlin/Java Software Engineer to join a cross-functional team expanding a new product. Work with cutting-edge technology using Kotlin, Java, SQL, and cloud infrastructure.

AI Software Engineer to design and deliver scalable backend and cloud systems for AI products. Focus on integrating modern AI via APIs, building agentic systems, and using AWS/Terraform. Requires Python experience.

Senior Backend Kotlin/Java Engineer to build secure, scalable client-facing systems. Focus areas include authentication, onboarding, and client engagement using Kotlin/Java, AWS, and microservices.

Junior iOS Engineer to help build accessible financial products. Contribute to iOS UI/feature design, own app parts, and write clean, testable code using Swift and the iOS SDK.

Build and evolve automated regression testing for mobile apps and backend services. Develop reusable testing frameworks and integrate automated checks into CI/CD pipelines. Shape the QA automation roadmap.

Senior Kotlin/Java Software Engineer joins Client Technology to enhance security, KYC, and client experience. Focus on developing and maintaining platforms using modern practices and cloud-native infrastructure.

Contribute to Android product design and implementation. Develop user interfaces and features, write clean, testable code, and experiment with Android technologies. Requires relevant degree and hands-on Android development experience.

Design and implement user interfaces for complex financial matters as a Senior iOS Engineer. Own the full app lifecycle, write clean, testable code, and experiment with new iOS technologies.

Build and evolve business-critical clearing and settlement services using Kotlin, Java, and Spring Boot. Develop cloud-native applications on AWS, focusing on clean, secure, and maintainable code within agile teams.

Staff UX Researcher to lead hands-on qualitative and quantitative research on customer and product questions. You will shape product strategy, enable designers, and evolve Research Operations.

Own the technical direction of real-time voice infrastructure, including SIP trunking and media handling. Set architectural direction for low-latency, high-availability voice at enterprise scale.

Lead strategic, cross-organizational programs from definition through launch for an enterprise AI platform. Own execution, risk management, and launch readiness across engineering teams. Requires technical depth to discuss architecture with senior engineers.