Remote Senior Software Architect: Cloud-Native SaaS Leader

Encora; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Coforge is seeking a Senior Software Architect to design and lead secure, scalable cloud-native SaaS applications using .NET, Angular, AWS, and modern patterns. This role requires deep experience with microservices, DDD, CQRS, and API-first principles.

You will mentor engineering teams, conduct architecture reviews, set technical standards, and promote engineering excellence across projects. A strong track record in AI-assisted development tools and a leadership mindset is essential for success.

Qualifications

• 12+ years of software engineering experience, including 5+ years in a leadership role.
• Experience with enterprise SaaS architectures using microservices and API-first design.
• Familiarity with AI-powered development tools and cloud platforms.

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, DDD, CQRS, and event-driven architectures.
• 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.

Skills

.NET Core

C#

Angular 16+

AWS

Microservices

DDD

CQRS

Event-Driven Architecture

SQL Server

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent professional experience

Job description

Coforge is seeking a Senior Software Architect to design and lead secure, scalable cloud-native SaaS applications using .NET, Angular, AWS, and modern patterns. This role requires deep experience with microservices, DDD, CQRS, and API-first principles.

You will mentor engineering teams, conduct architecture reviews, set technical standards, and promote engineering excellence across projects. A strong track record in AI-assisted development tools and a leadership mindset is essential for success.