Technical Architect (Dot Net Full Stack)

Technology: React.js, ASP.NET Core, C#.NET, Microservices, REST APIs, SQL Server, AWS, Docker, AI & Agile/Scrum.

Job Summary:

We are looking for an experienced Senior Full Stack .NET Architect with strong expertise in designing, developing, and maintaining scalable enterprise applications using React.js, ASP.NET Core, C#, and microservices architecture.

The ideal candidate should have experience delivering end-to-end software solutions, building secure RESTful APIs, implementing workflow automation, and modernizing legacy applications. The candidate should demonstrate technical leadership, strong problem-solving skills, and the ability to mentor junior developers while collaborating with cross-functional Agile teams.

Experience with AI-assisted software development tools, Spec-Driven Development (SDD), and Test-Driven Development (TDD) is highly desirable.

Key Responsibilities:

1. Software Development & Architecture

• Design, develop, and maintain scalable full-stack applications using React.js, ASP.NET Core, and C#.
• Build secure RESTful APIs and microservices supporting enterprise-scale business operations.
• Design and implement end-to-end workflows covering application, approval, renewal, and compliance monitoring.
• Develop reusable frontend components and maintainable backend services.
• Modernize legacy applications by migrating monolithic systems to microservices architecture.
• Optimize API performance, database queries, and application responsiveness.

2. Technical Leadership & Collaboration

• Collaborate with product managers, business analysts, designers, and engineering teams to define technical solutions.
• Translate business and operational requirements into scalable software capabilities.
• Participate in architecture discussions, technical design reviews, and solution planning.
• Mentor junior developers and interns, promoting engineering best practices.
• Conduct code reviews and ensure adherence to coding standards and software development principles.

3. AI-Assisted & Modern Development Practices

• Leverage AI-assisted development tools such as Claude Code to accelerate software development.
• Apply Spec-Driven Development (SDD) practices to improve requirement clarity and implementation quality.
• Implement Test-Driven Development (TDD) and automated testing strategies.
• Identify opportunities to improve engineering productivity through AI-powered development workflows.

4. Testing, Quality & Production Support:

• Develop automated unit, integration, and end-to-end tests.
• Troubleshoot production issues, perform root cause analysis, and implement permanent fixes.
• Ensure application security, reliability, scalability, and maintainability.
• Monitor application performance and resolve technical bottlenecks.
• Deliver production fixes within agreed service-level agreements (SLAs).

5. Agile Delivery:

• Participate in sprint planning, daily stand-ups, sprint reviews, and retrospectives.
• Estimate development efforts and communicate progress, risks, and dependencies.
• Work closely with cross-functional teams to deliver features within agreed timelines.
• Contribute to continuous improvement of engineering processes.
  Strong experience in enterprise application development using the Microsoft technology stack.

Required Skills:

• 12+ years of strong experience in enterprise application development using the Microsoft technology stack.
• Experience in financial services, investment platforms, cloud infrastructure, or enterprise workflow automation.
• Experience working in large Agile development teams.
• Strong analytical, debugging, communication, and technical leadership skills.
• Ability to independently drive technical solutions from requirement analysis through production deployment

Key Experience Areas:

• Enterprise workflow automation and compliance management systems.
• Financial investment platforms, including SPV investment solutions.
• Cloud and datacentre management platforms.
• Microservices modernization and legacy application migration.
• Kafka-based event-driven integrations.
• AI-assisted and specification-driven software engineering.