3 of 3 Customer Support Engineer Jobs

Role - Customer Support Engineer - DERMS Location - Edinburgh/Paris/Bucharest Key Responsibilities: Deliver L2/L3 support for DERMS applications, integrations, and services. Monitor system availability, performance, and data flows between DERMS, grid control systems (SCADA, ADMS, EMS), and distributed energy resources. Investigate and resolve … service requests, and escalations in alignment with SLA requirements. Conduct root cause analysis (RCA) and drive permanent fixes for recurring or high-severity issues. Support patching, upgrades, deployments, and system configuration changes. Collaborate with engineering and product teams to implement improvements in scalability, reliability, and cybersecurity. Maintain knowledge base ...

Role: Customer Support Engineer - DERMS Key Skills: Prior experience supporting DERMS or other OT/IT grid management platforms. Knowledge of GridOS ecosystem and integration with DERMS. Exposure to cybersecurity standards (NERC CIP, ISO 27001, SOC2). Cloud/hybrid deployment experience (Azure, AWS). Certifications such … ITIL, Security+, or utility-specific systems training. Scripting/automation skills (Python, Bash, PowerShell) for operational efficiency Key Responsibilities: Deliver L2/L3 support for DERMS applications, integrations, and services. Monitor system availability, performance, and data flows between DERMS, grid control systems (SCADA, ADMS, EMS), and distributed energy resources. ...

Role:Customer Support Engineer - GridOS (Kubernetes + Kafka) Experience with GridOS or other grid data management platforms. Knowledge of utility operations, grid modeling, and distributed energy resource management. Familiarity with real-time data streaming and IoT integration. Key Responsibilities: Design and implement GridOS Data Fabric solutions … ensure effective data governance, security, and compliance. Collaborate with business and IT teams to enhance data discovery, quality, and utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. ...