SSE /ATL / TL - Full Stack

Overview Our client is a fast-growing digital platforms company driving enterprise and business transformation through modern, cloud-native engineering. They're looking for a hands-on Senior Full Stack Engineer with strong expertise in Python, AI-powered application development, Agentic AI, and cloud-native engineering. Responsibilities Design, develop, and deliver scalable cloud-native applications using Node.js, NestJS, ReactJS, MongoDB, Python, and Microsoft Azure Stay actively involved in hands-on development, code reviews, troubleshooting, and technical problem solving Architect enterprise-grade microservices, APIs, event-driven systems, and distributed applications Drive engineering best practices across clean code, design patterns, testing, security, observability, and CI/CD Design and implement Azure-based solutions using services such as AKS, Azure Functions, API Management, Service Bus, and DevOps pipelines Leverage AI-powered engineering tools such as GitHub Copilot, Claude, ChatGPT, Cursor, and similar platforms to improve engineering productivity and delivery quality Develop and utilize AI agents, workflows, reusable prompts, MCP integrations, and automation capabilities to accelerate software engineering processes Build AI-enabled solutions using Python for LLM integrations, orchestration frameworks, automation pipelines, data processing, and AI/ML-driven capabilities Contribute to AI-enabled solution architectures including agent orchestration, workflow automation, RAG-based systems, and enterprise AI integrations Continuously evaluate emerging technologies and AI capabilities to drive innovation and engineering excellence Requirements & Skills Proven experience as a Senior Full Stack Engineer in enterprise application development Strong hands-on expertise in: Node.js, NestJS, ReactJS, TypeScript, MongoDB, Python, REST APIs & Microservices Hands-on experience with Microsoft Azure/AWS cloud technologies and DevOps practices Strong understanding of scalable system design, distributed systems, API architecture, authentication, security, and performance optimization Experience working with Docker, Kubernetes, CI/CD pipelines, and cloud-native engineering practices Hands-on exposure to AI-assisted engineering tools, AI-native solution development, LLM integrations, and agentic AI frameworks Excellent communication, stakeholder management, and mentoring skills Passionate about technology, innovation, and building high-performing engineering teams