• Execute Protection and Control Engineering and Consulting services in Transmission, Distribution and Industrial markets • Design and delivery of complex protection solutions for generation, transmission, distribution systems for electrical utilities and industrial clients • Perform engineering studies and analyses such as: short circuit, load flow, ground grid design, insulation coordination, arc-flash studies, protective device coordination • Create relay setting files including programming of Protection and Control Elements, Control Logic and Communications settings for GE and third-party protective relays • Test customized Protection and Control solutions both in house and at customer installations • Provide factory acceptance test plans and testing services to validate protection designs • Assist software tool development to automate the engineering process • Participate in project meetings with project managers and customers on technical discussions

• Write and modify embedded C firmware for analog and Ethernet connectivity devices, including register configuration, state machines, calibration sequences, and control loops • Work on low-level hardware bring-up and debug alongside senior firmware engineers • Contribute to features spanning analog control such as gain settings and equalization parameters, as well as Ethernet link management, SERDES configuration, and diagnostics • Help maintain and improve the firmware codebase with clean, reviewable code • Write Python scripts to automate test flows, collect and analyze data, and help make the team faster • Work with validation teams remotely to develop and execute test plans across a range of operating conditions and corner cases • Help build out CI infrastructure and automated test tooling as the team grows • Contribute to characterizing firmware behaviour across analog and Ethernet configurations, link states, and failure modes • Keep Jira tickets up to date, track your own work, and flag blockers early • Participate in code reviews and architecture discussions • Communicate clearly with teammates across firmware, silicon design, and applications

• Train and technically enable partners on SecOps architectures, workflows, and integrations. • Own and evolve the SecOps demo lab (in collaboration with SSE SecOps), including demos and simulations. • Support CAM SecOps and BDMs in sales plays, partner engagements, and co-selling activities. • Provide technical leadership to help partners move from product knowledge to full SecOps solution selling and service creation. • Collaborate with Channel Account Managers on the technical enablement, development, and readiness of assigned partners. • Drive technical strategies and enablement in alignment with the channel sales organisation to achieve partner commercial goals. • Serve as a trusted advisor to partners, demonstrating the business value of Fortinet SecOps solutions. • Guide and train partners to successfully position and sell Fortinet solutions through technical, consultative, and architectural pre-sales support. • Provide technical guidance to help partners achieve Fortinet certifications. • Keep partners updated on Fortinet products, solutions, services, and promotions. • Deliver technical presentations, solution showcases, workshops, and proof of concepts. • Maintain awareness of partner service models, SecOps market trends, and industry developments. • Support partner-led events, seminars, and training workshops. • Participate in assessing partner technical readiness and progression.

• Design, develop, and optimize AI-powered systems using Large Language Models (LLMs). • Integrate AI APIs and external services to build scalable content generation workflows. • Develop validation frameworks, quality controls, and evaluation systems for AI-generated content. • Design automated testing and benchmarking processes to continuously improve AI performance. • Manage and integrate structured sports data from multiple sources and APIs. • Transform sports events and statistics into engaging educational experiences powered by AI. • Collaborate closely with Product, Engineering, Design, and Curriculum teams to deliver new features and improvements. • Optimize AI pipelines, workflows, and system architecture for scalability and reliability. • Maintain technical documentation and actively participate in Agile/Kanban workflows. • Support QA processes, troubleshooting, and continuous improvement initiatives across AI-powered products.