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Develop customer-specific POS solutions for leading retailers in the DACH region. Contribute to the internal retail platform and work in agile Scrum teams, including Greenfield projects and cross-site collaboration with five locations in Germany and Portugal.
You will perform security analyses, risk assessments, and gap analyses. You will help develop and optimize security concepts and architectures, operate security technologies, and advise on governance and incident response.
Lead and mentor a backend team of engineers, designing and maintaining high-performance APIs (gRPC and REST). Own end-to-end delivery of microservices, including architecture, deployment, and production support.
Build and ship features end-to-end—from database to frontend—and own parts of the product, making architectural decisions that matter. Work with product and design to translate real workflows into simple software and help shape Buena's engineering culture as it grows.
Develop and test new features for the front-end and back-end as part of an agile software team. You will ensure robust, scalable software and contribute to architecture and deployment concepts.
Develop, optimize, and integrate AI and deep learning models, particularly in computer vision, into production and mobile environments. Deploy models using ONNX and TensorRT and maintain production-grade Python code.
Develop AI-enabled software and help shape product roadmaps and backlogs. Build AI-driven prototypes or MVPs, orchestrate AI within the team, and monitor costs, API limits, and performance.
Develop scalable backend services for VPP operations and energy market integrations using TypeScript and NestJS. Design APIs and abstractions to enable seamless communication between components and ensure scalability for many connected users.
Own the cloud platform design and reliability; troubleshoot complex systems and improve developer experience. Build and maintain AWS infrastructure across regions with Terraform, manage EKS workloads, and keep CI/CD pipelines robust.
Build and evolve a modern data-lakehouse architecture based on Microsoft Fabric and Databricks. Prepare complex data sources with SQL and Python, develop analytics and BI solutions, and ensure data quality through automated integrations and reliable pipeline monitoring.