Beon Consult

We are seeking a Senior Platform Engineer with expertise in supporting Kubernetes and Kafka across on-premises and multi-cloud environments (Azure, GCP). The ideal candidate will also be eager to learn about and assist with integrating edge computing platforms, enabling AI technology stacks, and utilizing a robust DevOps toolset. This role requires hands-on Kubernetes experience and a strong foundation in modern platform solutions. Kubernetes Management : Provision, manage, and maintain Kubernetes clusters in on-premises and cloud environments (Azure, GCP). Serverless & Service Mesh : Deploy and manage Knative for serverless workloads and Istio for service mesh implementations. Custom Kubernetes Development : Create custom Kubernetes operators and controllers using Go to extend Kubernetes functionality. Edge & AI Integrations : Integrate edge computing platforms with AI/ML workloads (e.g., TensorFlow Serving, PyTorch, Kubeflow) for efficient edge processing. Collaboration : Work closely with AI/ML, data engineering, and platform teams to optimize resource utilization and scalability for edge and AI workloads. Kafka Administration : Build and administer Kafka clusters to support Kafka Connect in containerized environments. Handle partitioning strategies and optimize Kafka performance. Automation & Provisioning : Develop Ansible playbooks for infrastructure automation and platform provisioning. CI/CD Pipelines : Design and implement GitOps workflows using Jenkins and GitHub/GitLab, ensuring continuous integration and deployment. Monitoring & Logging : Implement robust monitoring with Prometheus and Grafana, and manage centralized logging via ELK or Fluentd. Optimization & Troubleshooting : Apply best practices for performance, platform resilience, and disaster recovery. Diagnose complex issues related to Kafka pipelines, Kubernetes orchestration, and CI/CD processes. Core Skills Kubernetes (5+ years) : Cluster management, deployments, Helm charts, operators, and scaling/integrations. Service Mesh : Working knowledge of Istio or Linkerd for secure microservices communication. Edge Computing : Experience with platforms such as Azure IoT Edge, AWS Greengrass, or GCP Edge TPU is a plus. AI/ML Infrastructure : Experience deploying AI/ML workloads (e.g., TensorFlow Serving, PyTorch, Kubeflow). Cloud Platforms : Hands-on experience with at least two of Azure or GCP. Terraform & Ansible : Proficient in infrastructure provisioning and configuration management. CI/CD : Familiarity with Jenkins, GitHub Actions, GitLab, or similar tools. Go (Golang) / Python : Ability to develop Kubernetes-native solutions (operators, CRDs, controllers). Kafka : Knowledge of Kafka cluster setup, topic management, partitioning, broker optimization, and Kafka Connect is beneficial. Monitoring & Logging : Expertise with Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Fluentd.

AI Solution Architect (m/f/d) beON is a leading IT consulting firm in Germany, delivering cutting-edge IT services and high-performance software solutions to enterprise clients. We specialize in end-to-end digital transformation, AI system design, IT security and advanced hybrid cloud architectures. With headquarters in Kiel and D sseldorf and offices in Munich, Berlin, Frankfurt, Hamburg, Vienna, Lisbon, and Hyderabad (India), we foster a modern, collaborative, and agile work culture. About the Role As an AI Solution Architect at beON, you will design robust, scalable, and secure AI systems that connect industrial operations with intelligent decision-making. You will be responsible for developing and implementing complex AI system architectures, connecting OT and IT environments, and enabling data-driven operations from edge devices and production systems to cloud infrastructure. Your focus will be on real-time monitoring, analytics, and model-driven automation in industrial environments. You will serve as the key technical link between OT, IT, and AI teams. Work Location: #LI-Remote and/or #LI-Hybrid, Hybrid, D sseldorf, Deutschland Employment type: Permanent, Full-time Start: As soon as possible Language Requirements: English (German is a plus) Compensation : Competitive salary with performance-based bonus and advancement opportunities Your Responsibilities Design and implement scalable AI architectures in hybrid and cloud environments (Azure, AWS, GCP) Integrate production systems (SCADA, MES, DCS) and IIoT components using OPC UA, MQTT, and Modbus Develop secure, high-performance data pipelines from OT/edge environments to data lakes and cloud platforms Support real-time applications for monitoring, anomaly detection, early warning, and forecasting Define interfaces (REST/gRPC) and workflows for machine learning model deployment and orchestration (e.g., MLflow, Kubeflow) Collaborate with ML Engineers, Data Scientists, and DevOps teams to deliver full end-to-end AI solutions Use SQL for data modeling, transformation, and integration Contribute to data governance, lineage, and compliance (e.g., GDPR, ISO/IEC 27001) Your Profile: Several years of experience designing data-driven system architectures, ideally in an industrial environment In-depth knowledge of industrial protocols and OT/IT integration (e.g., SCADA, OPC UA, edge devices) Expertise in edge computing, network security, and infrastructure design Proficiency in SQL and familiarity with BI tools such as Power BI Experience with MLOps pipelines and AI lifecycle platforms (e.g., MLflow, SageMaker, Vertex AI) Hands-on project experience in industrial or manufacturing settings Familiarity with IoT platforms, edge AI, or SCADA/MES systems Knowledge of modern data platforms (e.g., Snowflake, Delta Lake, BigQuery) Experience with orchestration tools such as Apache Airflow or dbt Practical experience deploying AI services in edge computing environments Strong communication skills with the ability to translate complex technical requirements into actionable plans Application Process Ready to advance your career at beON? Submit your CV to