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