GridOS DDLR Project Engineer
Switzerland Global Enterprise
full-time
Posted on:
Location Type: Office
Location: Cambridge • United Kingdom
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Job Level
About the role
- Deploy, configure, and validate the DDLR application 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.
- 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.
Requirements
- 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.
Benefits
- Relocation Assistance Provided: No
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
KubernetesHelm chartscontainerized servicesREST APIsKotlinPythonJavadata ingestion pipelinesCI/CD practicesnetwork asset models
Soft skills
collaborationcommunicationtroubleshootingguidancedocumentationproblem-solvingcustomer engagementprogress updatesteamworkadaptability
Certifications
Bachelor’s degree in Electrical EngineeringBachelor’s degree in Power SystemsBachelor’s degree in Computer EngineeringBachelor’s degree in Computer Science