AI-Driven - Full Stack Engineer

Educational Requirements Bachelor of Engineering Service Line Topaz COE unit Responsibilities Design, build, and deliver end-to-end features across React/Angular frontends and Java/Node.js microservices, integrated with REST APIs and Kafka-based event streams. Own prompt structuring, validation, and refinement for AI-generated code ensuring correctness, security compliance, and adherence to Citizens' engineering standards. Leverage AI coding agents (GitHub Copilot, Claude Code) by authoring customisations agents, skills, hooks, MCP servers, and plugins to accelerate development without sacrificing quality. Build multi-agent AI applications using Agent SDKs to orchestrate workflows where agents collaborate or hand off tasks to each other. Implement and champion test-driven development (TDD) across unit, integration, and contract testing layers using Jasmine/Jest/Karma. Contribute to and improve CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and cloud-native deployments on AWS/Azure using Docker and Kubernetes (AKS/EKS). Maintain observability standards: structured logging (ELK/Datadog), alerting (Prometheus/Grafana/AppDynamics), and performance profiling. Collaborate with product, design, and architecture teams to translate business goals into scalable, compliant technical solutions. Manage parallel workstreams and evolving requirements, ensuring incremental and continuous value delivery through agile practices. Technical and Professional Requirements AI ENGINEERING REQUIREMENTS High proficiency using AI coding agents (GitHub Copilot, Claude Code) with a strong understanding of AI-driven and AI-managed coding workflows. Solid grounding in prompt engineering structuring, iterating, and validating prompts for consistent, production-quality code generation. Hands-on experience designing and constructing AI coding agent customisations: agents, skills, hooks, MCP servers, and plugins. CORE SKILLS QUALIFICATIONS Frontend React / Angular (micro-frontend architecture with single-spa / Module Federation) TypeScript, HTML5, CSS Unit testing: Jasmine, Karma, Jest Backend Integration Java (Spring Boot / Spring Cloud) primary backend services Node.js lightweight APIs and integration services RESTful APIs microservices architecture Preferred Skills Technology->Infosys Front End Automation->Infosys Automation Platform Technology->Full stack->Java Full stack Technology->AI-Generative AI->Generative AI - Basic