SourceFuse Technologies - Technical Architect - Full Stack Development

SourceFuse


Date: 1 day ago
City: Chandīgarh, Chandigarh
Contract type: Full time
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)

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