• Design, develop, and implement end-to-end SharePoint-based and web solutions, including front-end components, backend services, APIs, and workflows tailored to client needs. • Build modern, responsive user interfaces using SPFx, React, TypeScript, and other modern web technologies to enhance user experience across SharePoint and Microsoft 365 platforms. • Develop and maintain backend services, APIs, and data access layers using Azure services and RESTful architectures to support scalable and secure applications. • Build and manage seamless integrations between Infodash, SharePoint, Microsoft Teams, Microsoft Graph, and external platforms such as financial systems, directories, legal systems, and other third-party data sources. • Design, build, and integrate AI-powered features into Infodash products, including conversational assistants, intelligent search, summarization, and data-driven insights. • Develop solutions leveraging large language models (LLMs) and AI services (e.g., Azure OpenAI, embeddings, vector search) to enhance user workflows and decision-making. • Implement Retrieval-Augmented Generation (RAG) patterns by combining structured data, documents, and search indexes with LLMs. • Collaborate with architects and product leaders to translate AI use cases into secure, scalable production solutions. • Ensure responsible AI practices, including security, privacy, data access controls, and performance monitoring. • Design and implement solutions to aggregate, transform, and present data from multiple sources (e.g., financial, directory, and client/matter systems) using Azure SQL, Azure Data Factory, and other data services. • Optimize performance across the full stack, troubleshoot complex technical issues, and ensure reliable, secure operation of all solutions and integrations. • Support application deployment, configuration, and monitoring using Azure-based tools and services, with an emphasis on scalability, security, and maintainability. • Work closely with project teams, architects, and client stakeholders to translate business requirements into technical solutions aligned with organizational goals. • Maintain high standards of code quality, documentation, testing, and version control throughout the development lifecycle.

• Lead design and implementation of control-plane services (APIs, schedulers, workflow/rules engines, config & policy management). • Build features around reporting/analytics, global alert filters/policies, re-investigation flows, and customer-visible auditability. • Evolve multi-tenant, role-aware “organization & permissions” models; ensure safe, idempotent, and rate-limited operations. • Define and version public/internal APIs. • Partner with AI Core, Security Integrations, and GTM to prioritize roadmap and translate ambiguity into shipped outcomes. • Provide mentorship and raise the bar on code quality, design reviews, and operational excellence. • Drive quality through automated testing, performance monitoring, and secure coding practices. • Periodically participate in a 24x7 on-call rotation.

• Work with the team to help solve business problems. • Write high quality distributed system software. • Work closely with architects and technical product managers to translate overall system architecture and product requirements into well-designed and implemented software components. • Take ownership of the implementation of individual software components, with high emphasis on quality, test-driven development, and sound software engineering practices. • Participate in software design reviews, you conduct peer code reviews, and provide input and feedback to other members of the development team. • Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. • Use software engineering best practices to ensure a high standard of quality for all the team deliverables.

• Design, develop, and deploy scalable and highly available cloud-based applications using C#/.NET Core and Azure App Services in performant Kubernetes clusters • Innovate on the Authorization AI team, bringing AI-enabled features and security to our platform • Using Scrum processes, collaborate with cross-functional teams (PM, UX, Dev) to understand requirements, propose technical solutions, and contribute to architectural decisions • Participate in collaborative engineering environment. Mentor and provide technical guidance to other engineers, fostering a culture of continuous learning and growth • Consistently look for ways to improve the development and automation processes (code quality, E2E testing, security scans, etc.), monitoring, and tiered incidence response