• Design and develop customized PowerApps and Automate applications tailored to business requirements. • Utilize Power Apps formulas and development methods to create both canvas and model-driven apps. • Implement variables (contextual and global), collections, and business rules to enhance app functionality. • Conduct thorough testing and debugging to ensure optimal performance and user experience. • Integrate Power BI reports and dashboards into PowerApps to provide comprehensive data insights. • Design and develop Power BI solutions including data modeling, DAX expressions, and visualizations. • Work with various data sources and utilize import and direct query connectivity modes. • Create and manage calculated columns, measures, and transformations within Power BI. • Connect to various data sources such as SQL Server, OneDrive for Business, and others to pull data into Dataverse and Power BI. • Develop, test, and implement data integration solutions ensuring data integrity and reliability. • Perform database management tasks including backup, restore, and optimization using T-SQL. • Write and maintain DDL/DML/DCL commands for efficient data manipulation and storage. • Engage with stakeholders to gather requirements and manage project lifecycles using agile methodologies. • Provide consistent support and handle production issues and escalations within SLA. • Participate in code reviews and contribute to the continuous improvement of development practices. • Document and communicate project progress, challenges, and solutions effectively. • Stay updated with the latest Power Platform, Power BI, and data integration technologies. • Train and mentor junior team members and share best practices. • Create and maintain technical documentation and user guides.

• Design and build scalable and high-performance data software solutions using Golang and Python. • Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments. • Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements. • Optimize performance, reliability, and security of our backend infrastructure. • Work on data modeling and transformation to support machine learning workflows and AI-powered applications.

• Owning platform extensibility and scalability which is used as the foundation for web services, data services and Machinify’s AI systems • Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure • Design, develop, and maintain robust Scala and Java based systems • Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity • Collaborate cross-functionally with other teams that define, design, and ship new features, with the understanding of how our systems must change to support AI platform expansion for future customer-focused deliverables • Design and implement complex frameworks for applying machine learning techniques to large data volumes • Deliver reliable and good-performing software • Troubleshoot and resolve software and database issues in a timely manner. • Participate in code reviews to maintain high code quality. • Continuously explore new technologies and integrate them into projects to improve system performance and scalability.

• Architect new agent runtime infrastructure that will support us scaling to the next 100x users • Implement the foundations of multi-person apps and realtime collaboration features • Design systems that support lab schools redesigning education from the ground up - from AI-native curricula to entirely new operational models • Collaborate with the ML team to select and build data infrastructure that can power realtime steering of LLM interactions • Work with product and app engineering to create secure, ephemeral backend sandboxes that enable power users to add sophisticated custom functionality to the apps they’re creating on Playlab • Contribute to open sourcing components of our platform and supporting country-specific and self-hosted deployments • Research, make tradeoffs, design and implement the core systems that enable us to rapidly iterate on AI-native educational experiences • Help design the engineering culture and technical strategy • Stay on top of new technologies, platforms and techniques to unlock new functionality and improve existing features • Work cross functionally and with customers so your system designs support the real needs of users as well as engineering goals • Balance experimentation with production excellence - be quick and creative when exploring new possibilities, ensure reliability, observability, and maintainability when productionizing systems • Take security and privacy seriously and work it into your architectural decisions • Work with product and engineering to both set and support the roadmap • Mentor engineers on system design and platform engineering through pairing and reviews.