SourceFuse Technologies - Technical Architect - Full Stack Development

Job Description

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 & 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 & 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 (ref:hirist.tech) Show more Show less