SourceFuse Technologies - Technical Architect - Full Stack Development (8-22 yrs)

Key Responsibility :

- Collaborate closely with development and delivery teams to enable scalable, high-performance software solutions.

- Participate in client meetings as a technical expert to gather business and technical requirements and translate them into actionable solutions.

- Remain technology-agnostic, with a strong awareness of emerging tools, including AI-based solutions.

- Architect and present technical solutions aligned with business objectives and innovation goals.

- Lead R&D initiatives around Generative AI, AI-driven automation, and productivity tooling to enhance engineering efficiency and code quality.

- Create and maintain technical documentation, architecture diagrams, and AI-assisted design drafts.

- Work cross-functionally with clients and project teams to capture requirements and devise intelligent, future-ready solutions

- Identify opportunities to integrate AI-based code generation, automated testing, and AI-enhanced

observability into the SDLC.

- Mentor teams on the adoption of GenAI tools (e.g., GitHub Copilot, ChatGPT, Amazon CodeWhisperer) and

establish governance around their responsible use.

- Drive innovation in architecture by exploring AI/ML APIs, LLM-based recommendation systems, and intelligent decision engines.

Skills & Abilities :

- Deep understanding of AWS and other public cloud platforms.

- Expert-level experience in full stack development using Node.js and Angular.

- Proficiency in architecting solutions from the ground up, from concept to production.

- Strong advocate of Test-Driven Development with hands-on implementation.

- Practical knowledge of microservices architecture, patterns, and scalability principles.

- Awareness and practical usage of observability tools and distributed tracing.

- Familiarity with OpenTelemetry and related observability frameworks.

- Experience with cloud-native development, containerization (e.g., Docker), and deployment on Kubernetes.

- Working knowledge of Infrastructure as Code (IaC) tools like Terraform and Helm.

- Exposure to open-source frameworks and cloud-native stacks.

- Knowledge of LoopBack 4 is a plus

Skills & Abilities :

Experience using or integrating GenAI tools for tasks such as :

- Code scaffolding and refactoring

- Automated documentation generation

- Unit test cases generation

- Intelligent API design

- Semantic search and natural language processing

- Prompt engineering and fine-tuning of LLMs