Top 3 skills required for this role:
1. Hands-on experience with GitHub Spec Kit and spec-driven development using AI agents (/specify, /plan, /tasks workflow).
2. Production-grade applications built with React / JavaScript frameworks and Node.js REST/GraphQL APIs.
3. AWS infrastructure (Lambda, S3, EC2, API Gateway) paired with MongoDB and/or PostgreSQL at scale.
Job Description/ Responsibilities
• Lead spec-first development initiatives using GitHub Spec Kit — authoring specs, technical plans, and agent-ready task breakdowns before writing any code.
• Design and build full stack web applications using React, JavaScript/TypeScript frameworks, and Node.js, from UI to backend API layer.
• Develop, integrate, and maintain RESTful and GraphQL APIs, ensuring performance, reliability, and security across services.
• Architect and deploy cloud-native solutions on AWS (Lambda, EC2, S3, API Gateway, RDS, CloudFormation) with a focus on scalability and cost efficiency.
• Build and integrate AI-powered features — leveraging LLMs, AI agents, prompt engineering, and the GenAI ecosystem to enhance product capabilities.
• Design and manage relational (PostgreSQL) and document (MongoDB) databases, including schema design, query optimisation, and data migrations.
• Collaborate with product managers, designers, and AI/ML engineers to translate requirements into well-specified, shippable software.
• Participate in code reviews, establish engineering best practices, and contribute to a culture of quality and continuous improvement.
Required Qualifications
• 5+ years of professional experience in full stack software development.
• Proven hands-on experience with GenAI tools and a spec-first development approach, including GitHub Spec Kit or equivalent workflows.
• Strong proficiency in React and modern JavaScript / TypeScript frameworks (Next.js, Vue, or similar).
• Solid backend development skills with Node.js — building and maintaining production REST or GraphQL APIs.
• Experience deploying and operating applications on AWS — comfortable with core services such as Lambda, EC2, S3, API Gateway, and RDS.
• Practical experience with both MongoDB (document store) and PostgreSQL (relational), including schema design and query tuning.
• Familiarity with AI agent frameworks, LLM APIs (OpenAI, Anthropic, or similar), and prompt engineering techniques.
• Strong understanding of software engineering fundamentals — data structures, system design, testing, and CI/CD practices.
• Bachelor’s degree in computer science, Engineering, or equivalent practical experience.