Qualifications
Responsibilities:Design and develop full-stack applications utilizing Vue.js, Node.js, and Python. Integrate GenAI/LLM-based solutions into applications, including prompt engineering, APIs, and model integration. Build and maintain RESTful APIs and/or GraphQL services. Develop scalable, event-driven systems using Kafka. Deploy and manage applications on AWS (Lambda, S3, RDS, Fargate). Implement CI/CD pipelines and manage containerized deployments using Docker & Kubernetes. Work with relational databases such as Postgres, MySQL, or Oracle. Collaborate with cross-functional teams including product, design, and data teams. Ensure the performance, scalability, and security of applications. Requirements:10+ years of experience in Full Stack Development. Strong hands-on experience with Vue.js, Node.js, and Python. Proven expertise in GenAI/LLM integration is a must-have. Experience with AWS cloud services (Lambda, S3, RDS, Fargate). Solid experience in building RESTful/GraphQL APIs. Experience with Kafka or event-driven architecture. Hands-on experience with Docker, Kubernetes, and CI/CD pipelines. Strong knowledge of RDBMS (Postgres/MySQL/Oracle). Excellent problem-solving and communication skills.
About the job
Tiger Analytics is seeking a highly skilled Lead Full Stack Engineer to become a pivotal member of our rapidly expanding advanced analytics consulting firm. Recognized as a trusted analytics partner for numerous Fortune 500 companies, we empower organizations to harness the full value of their data. Our expertise and leadership have earned accolades from leading market research firms, including Forrester and Gartner. We are on the lookout for exceptional talent to join our elite global analytics consulting team.
In this role, you will leverage your extensive experience in modern web development, cloud-native architecture, and Generative AI (GenAI/LLM integration) to design and implement robust full-stack applications. Your hands-on expertise will encompass frontend, backend, and cloud platforms, ensuring the development of scalable, production-ready systems.
This position demands technical depth, a strong architectural mindset, and the ability to thrive in a dynamic hybrid work environment.