Key Responsibilities: Design, build, and operate cloud-based services using modern container technologies (e.g., Kubernetes, Docker) and Platform-as-a-Service (PaaS) solutions.Integrate new technologies and products into the existing cloud infrastructure, ensuring compatibility and long-term sustainability.Support the integration and implementation of additional software components and integration systems following agile methodologies.Contribute to the definition of functional and technical requirements in collaboration with cross-functional teams.Evaluate emerging technologies within the context of existing solutions and support software development teams through enablement and knowledge transfer.Ensure stable and secure operation of the cloud infrastructure, including scalability of services, maintainability, performance optimization, and security hardening.Monitor production systems and cloud services, proactively detect issues, and ensure fast recovery and incident resolution when required. What makes you stand out Bachelor's degree or equivalent in Computer Science3+ years' experience in cloud developmentStrong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.
Deine Aufgaben bei Organifarms Pfad- und Trajektorienplanung sowie Regelung von 7-Achsrobotern in dynamischen Umgebungen Weiterentwicklung und Test von Schnittstellen zum Computer Vision System Weiterentwicklung und Pflege der Schnittstelle zum Roboterarm Rapid Prototyping deiner Entwürfe und Ideen in der Simulation und auf realer Hardware Deine Qualifikationen Abgeschlossenes Informatik- oder Robotikstudium (oder vergleichbarer Studiengang) Erfahrung mit ROS und Paketen zur Pfadplanung und Regelung (z.B.
YOUR TASKS Lead and manage an international SCADA deployment team of eight specialists Oversee SCADA system coordination and operational delivery Take ownership of installation and commissioning of Nordex SCADA systems Coordinate second‑level support for SCADA field issues Ensure structured handover of SCADA topics to service teams Collaborate with development teams for product improvements Provide structured reporting to senior management YOUR PROFILE Bachelor’s degree in Computer Science or similar 2–3+ years experience in system architecture/backend/software Initial leadership experience in a technical environment Experience with microservices, Docker and cloud deployment Experience with InfluxDB and MongoDB Linux operations background and agile mindset Fluent English and intercultural competence YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
YOUR TASKS Lead and manage an international SCADA deployment team of eight specialists Oversee SCADA system coordination and operational delivery Take ownership of installation and commissioning of Nordex SCADA systems Coordinate second‑level support for SCADA field issues Ensure structured handover of SCADA topics to service teams Collaborate with development teams for product improvements Provide structured reporting to senior management YOUR PROFILE Bachelor’s degree in Computer Science or similar 2–3+ years experience in system architecture/backend/software Initial leadership experience in a technical environment Experience with microservices, Docker and cloud deployment Experience with InfluxDB and MongoDB Linux operations background and agile mindset Fluent English and intercultural competence YOUR BENEFITS Nordex offers a range of attractive benefits – here’s a selection of what you can look forward to.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
What makes you stand out Strong experience with cloud platforms (e.g., Azure, AWS, or GCP).Hands-on expertise in containerization and orchestration (Docker, Kubernetes).Experience with CI/CD pipelines and Infrastructure as Code (e.g., Terraform, ARM, CloudFormation).Solid understanding of system monitoring, logging, and incident management.Knowledge of cloud security best practices.Experience working in agile environments.Strong analytical mindset and proactive problem-solving approach.Strong communication, presentation skills both in terms of technology and managementDegree in Computer Science, Business Informatics or relevant field We are looking forward to your application and to applicants who enrich our diverse culture!
What You’ll Do: Collaborate in an Agile, International TeamWork closely with colleagues from Romania, Germany, and UkraineDesign, estimate, develop, and implement software solutions aligned with business needsActively communicate progress, risks, and technical decisions to stakeholdersBuild Scalable Data SolutionsDevelop agnostic data products within a modern, cloud-native data ecosystemSupport use cases across BI, Advanced Analytics, AI, and MLTranslate business requirements into robust technical architecturesContinuously enhance performance, quality, and cost-efficiency of solutionsProactively suggest improvements and best practices What makes you stand out Degree in Computer Science, Economics, or a comparable qualificationMinimum 3 years of experience as a BI Engineer or Data Engineer, focused on cloud-based architecturesStrong expertise in: Snowflake and DBT (Data Build Tool)Solid knowledge of: SQL and Data lakehouse architectures, Python is nice to haveCommunication is Key Excellent communication skills in English (written and spoken) — mandatoryAbility to clearly explain technical concepts to both technical and non-technical stakeholdersStrong stakeholder management and collaboration skillsComfortable working in cross-border, multicultural teams We are looking forward to your application and to applicants who enrich our diverse culture!
Occasional tasks include typing, dialing, climbing, balancing, stooping, kneeling, crouching, crawling, and reaching. Lifting up to 20 pounds may be required. Frequent computer use and visual acuity—including close, color, distance, depth perception, and focus adjustment—are essential.