GridOS DDLR Project Engineer

sing Kubernetes, Helm charts, and containerized services.

• Execute end-to-end deployments across customer environments, including on-premise, hybrid, or cloud infrastructure, on Linux- and Windows-based platforms.

• Troubleshoot container execution, Helm configuration, networking, and platform service issues.

• Collaborate with IT infrastructure and business application teams to guide and advise on complex deployments, including environments with limited Kubernetes expertise.

• Configure and validate network asset models and operational parameters used in Dynamic Line Rating calculations.

• Partner with customer EMS/ADMS, planning, or modelling teams to ensure alignment between source models and operational requirements.

• Investigate and resolve data quality issues involving telemetry, GIS, weather, asset metadata, or operational datasets.

• Implement, test, and validate integrations between software systems using service-oriented and event-driven architectures (REST APIs, messaging buses, middleware, file-based exchanges).

• Design and develop data workflows using modern programming languages (e.g., Kotlin, Python, or Java) to support secure, scalable, and maintainable data exchanges.

• Configure and verify data ingestion pipelines, ensuring accurate mapping of GIS, telemetry, and asset datasets.

• Work with internal teams to optimize workflow performance, handle transformations, and support operational monitoring.

• Capture, document, and translate customer requirements into clear engineering specifications and integration mappings.

• Guide customers toward out-of-the-box product capabilities while identifying where customization may be required.

• Provide concise progress updates and issue descriptions to both internal and customer leadership teams to ensure timely assignment of resources.

• Create and maintain technical documentation for deployments, data flows, interface mappings, and troubleshooting procedures.

• Contribute to enhancements in deployment automation, Helm templates, monitoring configurations, and standardized implementation patterns.

• Support CI/CD practices for container updates, test automation, and environment promotion when applicable.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Power Systems, Computer Engineering, Computer Science, or related technical field.

• General subject matter knowledge of utility energy management systems (EMS/SCADA) and network equipment modelling.

• At least 1 year of hands-on experience installing, deploying, and debugging Kubernetes workloads, Helm charts, and related open-source software on Linux systems.

• Strong collaboration and communication skills for guiding and advising IT infrastructure and business application teams through complex software installations, including environments with limited Kubernetes experience.

• Experience integrating systems through REST APIs, microservices, or message-based interfaces.

• Comfort with Linux command-line tools, container diagnostics, logs, and metrics.

Desired Qualifications

• Experience developing and maintaining integrations or workflows using modern programming languages (e.g., Kotlin, Python, or Java).

• Familiarity with GIS datasets, asset management systems, or data validation workflows.

• Exposure to CI/CD technologies and pipelines such as GitLab CI, GitHub Actions, Jenkins, or ArgoCD.

• Background in power system modeling, grid analytics, or related energy industry software.

• Experience containerizing applications or data ingestion workflows for Linux or Windows environments.

• Knowledge of Continuous Integration / Continuous Development best practices.

• Experience integrating systems via Service-Oriented Architectures (REST APIs, microservices, messaging).

Additional Information

Relocation Assistance Provided: No