Description
kubernetes deployment
helm configuration
container troubleshooting
data integration
workflow development
ci/cd automation
The GridOS DDLR Project Engineer is a hands‑on technical role within GE Vernova, responsible for delivering the Digital Dynamic Line Rating solution to network operators. This position focuses on deploying, configuring, and validating Kubernetes‑based components to improve grid reliability, visibility, and operational performance. The engineer works directly with customer engineering, IT, and business application teams, as well as internal product stakeholders, to ensure accurate asset modelling and stable production operation.
Key duties include executing end‑to‑end deployments across on‑premise, hybrid, or cloud environments, troubleshooting container and Helm issues, and guiding customers with limited Kubernetes expertise. The role also involves configuring network asset models, resolving data quality problems, and building integrations using REST APIs, messaging buses, and file‑based exchanges. Additionally, the engineer designs data workflows, validates ingestion pipelines, documents requirements, and contributes to deployment automation and CI/CD practices.
- Deploy, configure, and validate DDLR application using Kubernetes, Helm charts, and containerized services.
- Execute end‑to‑end deployments on Linux and Windows platforms across on‑premise, hybrid, or cloud environments.
- Troubleshoot container execution, Helm configuration, networking, and platform service issues.
- Advise IT infrastructure and business application teams on complex deployments, especially with limited Kubernetes expertise.
- Configure and validate network asset models and operational parameters for Dynamic Line Rating calculations.
- Partner with EMS/ADMS, planning, or modelling teams to align source models with operational requirements.
- Investigate and resolve data quality issues in telemetry, GIS, weather, and asset metadata.
- Implement, test, and validate integrations using REST APIs, messaging buses, middleware, or file exchanges.
- Design and develop data workflows in Kotlin, Python, or Java for secure, scalable data exchanges.
- Configure and verify data ingestion pipelines, ensuring accurate mapping of GIS, telemetry, and asset datasets.
- Capture, document, and translate customer requirements into engineering specifications and integration mappings.
- Provide concise progress updates and issue descriptions to internal and customer leadership.
- 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.
Requirements
bachelor's
kubernetes
linux
rest api
ci/cd
gis
Required qualifications are a Bachelor’s degree in Electrical Engineering, Power Systems, Computer Engineering, Computer Science, or a related technical field, along with general knowledge of utility EMS/SCADA systems. Candidates must have at least one year of hands‑on experience with Kubernetes workloads, Helm charts, and Linux command‑line tools, as well as strong collaboration and communication skills. Desired experience includes programming in Kotlin, Python, or Java, familiarity with GIS and asset management data, exposure to CI/CD tools such as GitLab CI or Jenkins, and a background in power system modeling or grid analytics.
- Required: Bachelor’s degree in EE, Power Systems, Computer Engineering, Computer Science, or related field; knowledge of utility EMS/SCADA; ≥1 year Kubernetes deployment experience; strong collaboration and communication; REST API integration experience; Linux command‑line proficiency.
- Desired: Experience with Kotlin, Python, or Java; familiarity with GIS datasets and asset management; exposure to CI/CD tools (GitLab CI, GitHub Actions, Jenkins, ArgoCD); background in power system modeling or grid analytics; containerization experience; knowledge of service‑oriented architecture best practices.
Benefits
Information not given or found
Training + Development
Information not given or found
