Grid monitoring and predictive analytics for energy infrastructure
Camlin Energy builds monitoring and predictive systems for power grid infrastructure using Python, C#, embedded Linux, and industrial protocols (RS485, UART, I2C). The engineering-heavy hiring profile—10 of 19 active roles—combined with active work on test platforms, operational dashboards, and legacy solution replacement suggests the company is scaling product delivery and internal tooling maturity rather than chasing new platform development.
Camlin Energy designs grid monitoring and predictive analytics solutions for energy infrastructure operators. Founded in 2008 and headquartered in Lisburn, Northern Ireland, the company operates at 501–1,000 employees with engineering and product teams concentrated in the UK and India. The tech stack reflects dual engineering domains: embedded systems (FreeRTOS, Zephyr, C++, C, industrial protocols) for on-device monitoring and modern cloud observability (Python, SQL Server, Grafana) for data aggregation and dashboards. Current work focuses on test infrastructure modernization, operational dashboarding via Salesforce and Jira, and standardization of internal support workflows.
Python, C#, .NET, SQL Server, Grafana, Git, Jira, Salesforce for backend and operations; C++, C, FreeRTOS, Zephyr, Embedded Linux, and industrial protocols (RS485, UART, I2C) for embedded systems; Solid Edge for design.
Product trials and complex delivery projects, test platform modernization (replacing legacy solutions), operational dashboards, CSAT measurement, and standardized maintenance intake workflows. Primary challenges are improving product supportability and reducing manual operational firefighting.
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