Principal Engineer — Full Stack, Cloud & AI

Advanced English (Professional Written and Verbal Communication)

We are seeking a skilled Principal Engineer with deep expertise in Full Stack Development, Cloud Architecture, and AI-powered applications to join our growing team. You will play a key role in designing and scaling a multi-tenant SaaS platform while leading engineering standards, technical decision-making, and development execution across distributed teams. Your work will directly impact product delivery, platform scalability, client success, and the company's long-term technology strategy.

• 10+ years of professional software engineering experience with demonstrated architect-level ownership and decision-making.
• Extensive experience building enterprise applications using .NET/C#, React, SQL Server, and Microsoft Azure services.
• Strong expertise with Azure App Services, Functions, Service Bus, API Management, Key Vault, Managed Identities, and Azure DevOps.
• Proven experience designing and operating multi-tenant SaaS platforms with application-level and database-level tenant isolation.
• Hands-on experience implementing RBAC and SBAC authorization frameworks within enterprise applications.
• Experience delivering production AI solutions utilizing LLM APIs, Retrieval-Augmented Generation (RAG), MCP architectures, and agentic AI workflows.
• Strong leadership experience mentoring developers, conducting architecture reviews, and guiding engineering teams through complex technical initiatives.
• Excellent communication skills with the ability to explain technical decisions to executive stakeholders, clients, and cross-functional teams.
• Active user of AI-assisted development tools with a demonstrated AI-forward engineering mindset.
• Willingness to travel regularly to Austin, Texas and relocate in the future if required as part of a full-time conversion.
• Experience with Microsoft Fabric, including data pipelines, Lakehouses, Delta Tables, Semantic Models, and Direct Lake implementations.
• Hands-on expertise with Power BI, including semantic model design, DAX development, and enterprise reporting solutions.
• Experience deploying and managing solutions within Azure AI Foundry.
• Proficiency in Python, PySpark, Databricks, or related data engineering technologies.
• Previous experience working within an MSP, SaaS, consulting, or technology services organization.
• Familiarity with Microsoft Logic Apps and workflow automation solutions.
• Microsoft certifications such as AZ-204, AZ-305, or equivalent cloud architecture certifications.