• Own entire production software systems end-to-end, from understanding operational problems on the factory floor through designing, building, deploying, and operating the software that solves them. • Responsible for entire systems rather than isolated tickets, owning problems from discovery through deployment and operational impact. • Build and maintain the internal operational stack that seamlessly connects planning, materials, purchasing, personnel, and factory processes, transforming complex manufacturing workflows into highly reliable, usable software. • Partner closely with factory operators, engineers, and company leadership to ensure CircuitHub’s factories scale smoothly as demand and Grid capabilities grow. • Example projects include building production planning tools, designing inventory and materials-flow systems, improving factory operator workflows, integrating new automation equipment, applying AI to automate operational processes, and developing software that coordinates work across people, robots, and suppliers.

• Build and maintain RESTful API endpoints using Python and Flask, contributing to business logic for BOQ processing and user management • Assist in integrating third-party and AI-driven APIs, including working with the Anthropic Claude API that powers the platform’s computational pricing engine • Develop and maintain responsive user interfaces using React, ensuring a polished experience across devices • Contribute to document processing pipelines handling PDF, Excel, and Word files for BOQ uploads and report exports • Write clean queries and support schema work using SQLAlchemy and PostgreSQL under senior guidance • Write tested, well-documented code and participate in code reviews and sprint planning • Support CI/CD workflows, containerisation, and deployment tasks as you grow into the role

• Provide support and maintenance for Information Systems and system integrations • Serve as a resource on projects for implementing Information Systems or developing system integrations

• Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies • Solve complex data engineering challenges by designing efficient, resilient distributed systems • Contribute to production-grade data platforms, delivering high-quality, tested code • Ensure software quality through clean, testable, and well-documented code • Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional stakeholders • Provide technical guidance to peers, contributing to architecture discussions and promoting best engineering practices • Support release and operational processes, including deployments, monitoring, alerting, and continuous improvement of system reliability • Drive improvements in performance, cost efficiency, and scalability of data processing workloads