Job Title: Senior Software Architect (.NET & AI-First Engineering)

Key Skills: C#, .NET Core, Angular, AWS, Microservices, Domain-Driven Design (DDD), CQRS, Event-Driven Architecture, AI-Assisted Development, Cloud-Native Applications

Experience: 12+ years of experience.

Location: Open to candidates across LATAM.

• Design scalable, secure, and high-performance SaaS applications using .NET and modern cloud technologies.
• Lead architecture initiatives across multiple projects and engineering teams.
• Design and implement cloud-native, API-first, microservices-based, and event-driven solutions.
• Partner with Architects, Product Managers, Engineering teams, and DevOps professionals to deliver high-quality software solutions.
• Mentor senior engineers and drive technical excellence across the organization.
• Define architectural standards, best practices, and scalable design patterns for enterprise applications.
• Lead technical decision-making to ensure platform scalability, reliability, security, and maintainability.
• Champion AI-first development practices and promote the adoption of AI-assisted engineering workflows.
• Leverage AI tools, reusable prompts, commands, and agentic workflows to improve developer productivity and accelerate software delivery.
• Evaluate and establish best practices for AI-generated code, testing, documentation, debugging, and refactoring.

• 12+ years of software engineering experience, including at least 5 years in a Software Architect, Principal Engineer, or similar leadership role.
• Expert-level experience with C#, .NET Core, and Entity Framework.
• Strong hands-on experience with Angular 16 or higher.
• Extensive experience with SQL Server and PostgreSQL databases.
• Experience working with NoSQL databases, preferably Amazon DocumentDB.
• Proven experience designing enterprise-grade SaaS applications.
• Strong background in Microservices Architecture, Domain-Driven Design (DDD), CQRS, and Event-Driven Architecture.
• Solid experience with AWS cloud services (preferred) or Azure cloud environments.
• Excellent communication, leadership, collaboration, and mentoring skills.
• Daily hands-on experience with AI coding tools such as GitHub Copilot, Cursor, Claude Code, or similar platforms.
• Experience using AI-powered workflows for code generation, testing, documentation, debugging, and software optimization.
• Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and agentic development concepts.
• Ability to assess AI-generated code quality and establish standards for AI-assisted software development.

• Experience with GraphQL.
• Experience deploying and managing Kubernetes environments.
• Knowledge of Terraform and Infrastructure as Code (IaC) practices.
• Experience with observability and monitoring tools such as CloudWatch, Datadog, or New Relic.
• Exposure to Platform Engineering practices and developer productivity platforms.
• Experience developing AI agents and intelligent automation solutions.
• AWS Solutions Architect certification.
• Familiarity with CI/CD practices and modern DevOps methodologies.
• Experience working in large-scale enterprise environments with distributed cloud architectures.

 

Published on: 24-07-2026

 

At Coforge, we hire professionals solely based on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.