• Architect end-to-end headless solutions using AEM as a content source and React/Next.js for rendering. • Design SSR and SSG architectures leveraging Next.js or similar frameworks for high-performance and SEO-friendly sites. • Define and implement AEM Headless content models (Content Fragments, Models, and APIs) that support omnichannel delivery. • Architect, develop, and maintain scalable AEM components following Adobe best practices and focusing on reusability. • Lead AEM template, workflow, and dispatcher configurations, ensuring high availability and performance. • Guide AEM Cloud implementations, ensuring alignment with Adobe’s evolving cloud-native capabilities. • Collaborate with system administrators, DevOps, and security teams on deployments, optimizations, and system upgrades. • Serve as a technical leader, providing mentorship to developers and ensuring adherence to AEM development standards. • Troubleshoot complex authoring, performance, and integration issues across the AEM platform. • Oversee and optimize AEM integrations with Adobe CJA Analytics, Adobe Launch, and third-party services. • Define and enforce security, accessibility, SEO, UX, and analytics best practices. • Lead code reviews, technical design sessions, and solution architecture discussions. • Maintain and evolve comprehensive technical documentation. • Collaborate with stakeholders and product teams, aligning AEM capabilities with business goals. • Provide leadership in Agile/Scrum environments, ensuring efficient sprint planning and execution.

• Develop software using the Pega platform to support a large-scale IT system • Complete Pega development stories and tasks within each sprint • Collaborate with solution architects and Business Analysts to ensure architecture compliance • Support continuous integration by writing code/scripts and maintaining infrastructure • Test, debug, and monitor application performance using Pega’s built-in tools • Engage with stakeholders and clients, leveraging excellent communication skills to present solutions

• Lead and support small and large controls projects with a focus on technical execution and effective Project Management. • Investigate, troubleshoot, and resolve a wide variety of controls engineering issues. • Develop Digital Systems Design -- PLC, DCS, HSI, networked computer systems. • Prepare control system functional and implementation requirements and procurement specifications for nuclear plant control systems. • Interface with the client to ensure proper project execution and client satisfaction. • Prepare and review technical reports, calculations, and studies to present information in a clear and concise manner to meet client requirements. • Manage resources/resource loading and develop estimates for task completion and budget development. • Support the development of proposals. • Prepare and review diagrams and drawings for new and upgraded controls solutions. • Evaluate vendor bids from a technical perspective. • Interface with vendors to perform document reviews, ensure equipment compliance with specifications and needs of the plant, and witness FAT performance on behalf of the client. • Support implementation of the project at the client’s facilities.

• Design, build, and maintain robust data pipelines that ingest player, game, and marketing data from databases, event streams, and external APIs. • Develop, evaluate, and deploy machine learning models for use cases such as LTV prediction, churn forecasting, player segmentation, and marketing optimization. • Build and optimize analytical datasets and feature pipelines that support modeling, experimentation, and reporting. • Partner with Product, Game Design, Marketing, and Analytics teams to frame business questions, define success metrics, and deliver actionable insights. • Ensure data quality, reliability, and reproducibility through testing, monitoring, documentation, and version control. • Integrate model outputs into dashboards, reporting tools, or downstream systems to support operational decision-making. • Continuously improve analytical workflows, modeling approaches, and data tooling to increase accuracy, scalability, and efficiency.