Senior Software Architect
AI Summary
Senior Software Architect designing and leading cloud-native SaaS application architecture using .NET, Angular, AWS, and modern architectural patterns, mentoring engineering teams and championing AI-assisted development.
About this role
Job Title: Senior Software Architect
Key Skills: .NET Core, C#, Angular 16+, AWS, Microservices, Domain-Driven Design (DDD), CQRS, Event-Driven Architecture, SQL Server, AI-Assisted Development
Experience: 12+ years of experience.
Location: Costa Rica, Perú, Colombia, Bolivia.
Mode: Remote.
We at Coforge are hiring Senior Software Architect (#22429) with the following skill set.
Key Responsibilities
· Design and lead the architecture of secure, scalable, and cloud-native SaaS applications using .NET, Angular, AWS, and modern architectural patterns.
· Define and implement enterprise solutions leveraging microservices, Domain-Driven Design (DDD), CQRS, event-driven architecture, and API-first principles.
· Mentor engineering teams, drive architecture reviews, establish technical standards, and promote engineering excellence across projects.
· Champion AI-first software development by leveraging AI-powered development tools and best practices to improve productivity, software quality, and delivery speed.
Required Skills & Qualifications
· 12+ years of software engineering experience, including 5+ years as a Software Architect, Principal Engineer, or equivalent technical leadership role.
· Expert proficiency in C#, .NET Core, Entity Framework, and Angular 16+.
· Strong experience with SQL Server, PostgreSQL, and NoSQL databases (Amazon DocumentDB preferred).
· Proven experience designing enterprise SaaS applications using microservices, Domain-Driven Design (DDD), CQRS, and event-driven architectures.
· Strong hands-on experience with AWS (preferred) or Azure cloud platforms.
· Experience designing secure, API-first, cloud-native applications.
· Daily experience using AI-powered development tools such as GitHub Copilot, Claude Code, Cursor, or similar.
· Familiarity with AI concepts and workflows including LLMs, RAG, MCP, and agentic development.
· Strong leadership, communication, mentoring, and stakeholder management skills.
· Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent professional experience.
Preferred Skills:
· Experience establishing AI-assisted development standards and engineering best practices.
· Knowledge of DevOps, CI/CD, Infrastructure as Code, and cloud automation.
· Experience with observability, monitoring, and distributed systems.
· Strong background in Agile software development environments.
· Experience evaluating and governing AI-generated code quality.
Posted On: 24-07-2026
At Coforge, we hire professionals based solely on their skills and qualifications and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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