Senior Edge ML and DevOps Engineer

Beschreibung

Job Zusammenfassung In dieser Rolle entwickelst du skalierbare Infrastruktur für KI-Anwendungen, optimierst CI/CD-Pipelines und implementierst effiziente Modellinferenz auf IoT-Geräten, während du eng mit ML-Ingenieuren zusammenarbeitest. Job Zusammenfassung In dieser Rolle entwickelst du skalierbare Infrastruktur für KI-Anwendungen, optimierst CI/CD-Pipelines und implementierst effiziente Modellinferenz auf IoT-Geräten, während du eng mit ML-Ingenieuren zusammenarbeitest. Deine Rolle im Team You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. Partnering with your team, you: design, build, and maintain scalable infrastructure for AI-driven applications and bring model inference onto IoT devices. implement scalable, low-latency intelligence at the edge. own and optimize CI/CD pipelines to enable fast and secure deployments. ensure system reliability, performance, security, low-latency predictions and offline operation in sensitive, mission-critical environments. work closely with ML engineers to deploy and scale models in production. automate infrastructure using Infrastructure as Code (e.g., Terraform). monitor systems, troubleshoot incidents, and continuously improve observability. sometimes you support field operations by acquiring sensor data on site in Germany, Poland or Hungary and validating the technology through controlled field trials. Unsere Erwartungen an dich Qualifikationen Due to security regulations for this role, you have to hold citizenship of an EU Member State. You are legally registered in an EU country. You are willing to travel and stay 2-3 days per month to Berlin, Munich or Poland or Hungary. Hands-on cloud expertise. Expert knowledge of CI/CD, automation, and infrastructure as code. Familiarity with security best practices in cloud and distributed systems. Good knowledge of bash scripting. Fluent in English, any other spoken language is a plus. Passion for IoT. Motivation to work in defense. Personality that thrives in a driven startup/scaleup environment. Happy to fully work hands-on and get your hands dirty in the systems. Ideally worked with Golang. Ideally worked with C/C++. Ideally some understanding of Apache license obligations, including attribution, notice files, and compliant redistribution of builds and containers. Erfahrung Minimum of 8 years work experience within IT (e.g. Engineering). Minimum 5 years full-time work experience as a DevOps engineer, Platform Engineer, SRE, or MLOps Engineer. Worked for at least three years for one and the same employer. Experience with Kubernetes, Docker, and microservices. Experience supporting data-heavy and AI/ML workloads. Broad Linux work experience. Work experience within sensor, IoT or hardware field. Unser Angebot Opportunity to use top-notch technology. Be part of a group of tech sassy engineers. Join the next unicorn in defense, that develops one of the first multinational drone early-warning systems. Multinational, pragmatic and hands-on team with a strong focus on innovation. 100% free workplace policy: Come to the office in Berlin or Munich or work from home anywhere within the European Union. Flexible working hours: There are some meetings but apart from this, work whenever is best for you. 30 days vacation. Health insurance package. Sports club membership. Benefits Work-Life-Integration 🏠 Home Office Themen mit denen du dich im Job beschäftigst IoT Machine Learning AI Metadaten Level: Senior Job Feld: IT, DevOps, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Full Remote, Hybrid Unternehmenstyp: Startup Branche: Personaldienstleistung Ort: Berlin | Deutschland

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