2 of 2 Grid Computing Jobs in London

pricing, risk management and data analytics. Our platform is starting to replace a set of the existing risk applications with new generation ones with web-based UI, server-side computing and grid technology, distributed in-memory solutions. The new application is going to serve traders, sales and external clients. Solution is scalable to cover multiple locations and meet … motivated FX Risk Lead Java Developer. Key Responsibilities Design, develop, and maintain Java-based microservices for high-throughput application Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing Implement real time data ingestion and processing pipelines using Apache Kafka/Solace messaging Design and maintain robust Mongo DB/Oracle data models and … Strong hands-on experience with Core Java and multithreading in high load system Practice with JVM performance optimization and memory profiling Familiarity with distributed systems architecture and in-memory computing concepts Proven experience with in-memory caching solution Apache Ignite in production environment Solid experience with MongoDB (CRUD, indexing, performance tuning) Deep SQL knowledge and query optimization in Oracle More ❯

capturing and processing half-hourly and real-time operational data from diverse equipment and site systems. · Develop modules for: o Performance Monitoring: Real-time tracking of generation, storage, and grid export/import metrics. o Fault Detection & Diagnostics: Automated identification, logging, and reporting of technical issues at string, inverter, or system level, with AI-assisted root-cause analysis. o … of monitoring systems on-site and remotely. · Provide technical documentation, training, and ongoing support for internal teams and clients. · Stay at the forefront of emerging technologies (AI, IoT, edge computing, drone data integration) and advise on innovation strategies for future upgrades. System Scope & Capabilities The monitoring system developed will be expected to cover the entire lifecycle and operational environment … and historical performance data visualization for PV and BESS assets. · Comprehensive fault detection, diagnostics, and automated alerting systems. · Revenue monitoring and financial reporting linked to power purchase agreements and grid export performance. · Predictive O&M (Operations & Maintenance) scheduling, component lifecycle tracking, and work order management. · Integration with security and surveillance systems, including autonomous DJI drone monitoring, perimeter detection, and More ❯