Technical Support Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle überwachen und analysierst du Live-Systeme in Einzelhandelsumgebungen, unterstützt bei der Problemlösung und arbeitest eng mit Ingenieuren zusammen, um die Systemrobustheit zu verbessern, während du vor Ort implementierst. Job Zusammenfassung In dieser Rolle überwachen und analysierst du Live-Systeme in Einzelhandelsumgebungen, unterstützt bei der Problemlösung und arbeitest eng mit Ingenieuren zusammen, um die Systemrobustheit zu verbessern, während du vor Ort implementierst. Deine Rolle im Team Join Nomitri and help bring real-world AI systems into production. We deploy computer vision solutions into retail environments across multiple countries - operating in complex edge + cloud setups and processing millions of events daily. Monitor and analyze live systems across stores using logs, telemetry, and video data. Investigate and resolve issues in real-world environments (networking, configuration, hardware, deployments). Support and validate deployments - from preparation to rollout in production. Act as a technical interface to customers during rollouts and incident resolution. Work closely with engineering to identify root causes and improve system robustness. Build internal tools, scripts, and automated checks to scale support and operations. Document recurring issues and establish best practices for troubleshooting. Occasionally support on-site deployments across Germany and Europe. Unsere Erwartungen an dich Qualifikationen Comfortable working with Git in collaborative environments. Basic understanding of networking fundamentals (e.g. connectivity, services, ports). Fluent German and English, with the ability to communicate clearly in technical contexts. Strong analytical mindset - you enjoy investigating issues and finding root causes. High ownership and reliability, especially in customer-facing situations. Basic knowledge of databases or data analysis (SQL, scripting). Exposure to distributed or edge systems (on-prem + cloud). Familiarity with monitoring, alerting, or observability tools. Background in technical support, field engineering, or system deployment. Erfahrung Hands-on experience with Linux systems (CLI, debugging, system interaction). Programming experience (e.g. Python, C++, or similar) - you can debug and write small tools/scripts. Experience with Docker or containerized environments. Experience with computer vision, video systems, or AI-based applications. Unser Angebot Real-world impact: Your work directly affects live systems used in stores across multiple countries. Steep learning curve: Deep exposure to Linux, networking, distributed systems, and AI-powered applications. Bridge role: Grow beyond support into infrastructure, DevOps, or MLOps over time. Hands-on from day one: Work on real deployments, not just internal tooling. Close to the product: Collaborate directly with core engineers and influence system improvements. Learn from top engineers: Work closely with a highly experienced, international team (ex-Meta, Amazon, Qualcomm, ASML, …). Strong growth potential: Ideal role for ambitious engineers who want to quickly expand their technical scope. Themen mit denen du dich im Job beschäftigst AI Computer Vision RetailTech Metadaten Level: Erfahren Job Feld: IT, Support, DevOps Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Startup Branche: Internet, IT, Telekom Ort: Berlin | Deutschland

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