Principal Engineer — Full Stack, Cloud & AI

Nearshore Business Solutions

Medellín

Presencial

COP 240.186.659 - 343.123.799

Jornada completa

14 días+
Generador de candidaturas

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Opportunity for full-time conversion
Collaborative environment
High-impact role with influence on company growth

Descripción de la vacante

Nearshore Business Solutions is seeking a Principal Engineer in Medellín, Colombia, with a focus on Full Stack, Cloud, and AI technologies. You will own the technical architecture for our SaaS platform and steer engineering standards, leading a team in building scalable solutions.

The ideal candidate will have over 10 years of software engineering experience, particularly in .NET/C#, React, and Azure services. In addition to a competitive salary, the position offers the opportunity for full-time conversion and significant leadership impact.

Formación

  • 10+ years of professional software engineering experience with architect-level ownership.
  • Demonstrated experience building enterprise applications using .NET/C#, React, and SQL Server.
  • Strong expertise in Azure services, including App Services and Functions.

Responsabilidades

  • Own the technical architecture of the company's SaaS platform.
  • Write production-grade code across .NET (C#), React, Azure services, and APIs.
  • Lead and mentor engineering teams across onshore and offshore environments.

Conocimientos

Full Stack Development
Cloud Architecture
AI-Powered Applications
.NET (C#)
React
Azure Services
Production AI Solutions

Herramientas

SQL Server
Azure DevOps
Power BI

Descripción del empleo

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.
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