Job Description Summary
The GridOS Project Engineer plays a key role in delivering GE Vernovas Plan solutions for network this hands-on technical engineering role you will deploy configure and validate Kubernetes-based components helping customers enhance the reliability visibility and operational performance of their grid systems. You will collaborate directly with customer engineering IT and business application teams as well as internal product stakeholders to ensure accurate asset modelling robust data ingestion and stable production operation of the delivered solutions. This role combines systems deployment integration engineering and grid-domain knowledge to accelerate the energy transition
Job Description
Key Responsibilities
- Deploy configure and validate GE Vernovas GridOS Plan solutions using 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.
- 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
- Bachelors degree in Electrical Engineering Power Systems Computer Engineering Computer Science or related technical field.
- 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.
- General subject matter knowledge of utility energy management systems (EMS/SCADA) and network equipment modelling.
- 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
Required Experience:
IC
Job Description SummaryThe GridOS Project Engineer plays a key role in delivering GE Vernovas Plan solutions for network this hands-on technical engineering role you will deploy configure and validate Kubernetes-based components helping customers enhance the reliability visibility and operational p...
Job Description Summary
The GridOS Project Engineer plays a key role in delivering GE Vernovas Plan solutions for network this hands-on technical engineering role you will deploy configure and validate Kubernetes-based components helping customers enhance the reliability visibility and operational performance of their grid systems. You will collaborate directly with customer engineering IT and business application teams as well as internal product stakeholders to ensure accurate asset modelling robust data ingestion and stable production operation of the delivered solutions. This role combines systems deployment integration engineering and grid-domain knowledge to accelerate the energy transition
Job Description
Key Responsibilities
- Deploy configure and validate GE Vernovas GridOS Plan solutions using 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.
- 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
- Bachelors degree in Electrical Engineering Power Systems Computer Engineering Computer Science or related technical field.
- 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.
- General subject matter knowledge of utility energy management systems (EMS/SCADA) and network equipment modelling.
- 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
Required Experience:
IC
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