Principal Engineer — Full Stack, Cloud & AI

Job Title: Principal Engineer — Full Stack, Cloud & AI Location: Medellín, Colombia ( Type of Contract: 6-Month Contract-to-Hire | Full-Time upon mutual agreement Salary Range: Market Rates Language Requirements: 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. Key Responsibilities Own the technical architecture of the company's SaaS platform, designing, implementing, and evolving systems as the product scales toward commercial release. Write production-grade code daily across .NET (C#), React, Azure services, APIs, and data-driven applications. Lead, mentor, and provide technical direction to engineering teams across onshore and offshore environments. Establish and enforce engineering best practices, coding standards, architecture principles, and development processes. Design and implement secure multi-tenant SaaS architectures, including RBAC and SBAC authorization models. Build and integrate AI-powered capabilities including LLM orchestration, RAG pipelines, agentic workflows, MCP-based architectures, and intelligent automation solutions. Produce and maintain architecture documentation, technical diagrams, API specifications, ADRs, operational runbooks, and implementation guides. Must-Have Qualifications 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. Preferred Qualifications 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. What We Offer Opportunity to serve as the principal technical leader for a rapidly growing SaaS platform. Direct collaboration with executive leadership and key business stakeholders. High-impact role with ownership of architecture, engineering standards, and technical strategy. Exposure to cutting-edge AI, cloud, and SaaS technologies. Collaborative environment where contributions are highly visible and directly influence company growth. Opportunity to shape engineering team structure, hiring strategy, and long-term technical direction. Clear path to long-term leadership and organizational impact within a fast-growing technology company. Originally posted on Himalayas