The Role
Design and lead architecture for cloud-native, secure SaaS using .NET, Angular, and AWS. Define microservices, DDD, CQRS, and event-driven solutions; enforce API-first and cloud-native principles; mentor teams; run architecture reviews and standards; champion AI-assisted development to improve productivity and code quality.
Summary Generated by Built In
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.
At Coforge, we are looking for a Senior Software Architect (.NET & AI-First Engineering) (#Job) with the following profile.
Main Responsibilities• 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.
Mandatory Requirements• 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.
Preferred Requirements• 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.
• 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.
Skills Required
- 12+ years of software engineering experience with 5+ years as a Software Architect or Principal Engineer
- Expert proficiency in C#, .NET Core, and Entity Framework
- Expert proficiency in Angular 16+
- Strong experience with SQL Server, PostgreSQL, and NoSQL databases (Amazon DocumentDB preferred)
- Proven experience designing enterprise SaaS using microservices, 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 (e.g., GitHub Copilot, Claude Code, Cursor)
- 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 experience
- 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
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
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The Company
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
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