Senior Full Stack Developer

About Intelligence Node : Intelligence Node is a real-time retail intelligence platform that empowers businesses to drive product-level profitability and grow margins using data-driven real-time competitive insights. Intelligence Node's cutting-edge technology leverages AI to aggregate and analyze billions of data points across 1,900 retail categories in 34 global markets. In December 2024, Intelligence Node was acquired by Interpublic Group (IPG), a global leader in marketing solutions. Job Description : We are seeking an innovative and hands-on Full Stack Developer who will help us build internal tools, management consoles, and automation pipelines, enabling self-service capabilities and more efficient operations. You will play a critical role in systemizing crawler lifecycle management. What will you do? - Design, develop, and maintain web-based dashboard tools and service consoles for monitoring and managing crawling infrastructure. - Automate crawler lifecycle operations including deployment, scaling, configuration updates, health checks, and recovery actions. - Build intuitive UIs to visualize real-time metrics: performance, error rates, proxy system health, network utilization, etc. - Collaborate with backend engineers, DevOps, and data ingestion specialists to integrate new features into existing infrastructure. - Develop secure role-based access control and workflow automation for operational tasks. - Write scalable and maintainable code for both frontend and backend components. - Participate in system design discussions and code reviews, bringing best practices in architecture and software engineering. - Troubleshoot complex issues and support live production environments when needed. - Drive improvements in system reliability, performance, and operational efficiency. Tech Stack : - Frontend: React.js / Vue.js / Angular or similar modern UI frameworks. - Backend: Node.js / Python / Java (REST APIs, microservices). - Database Systems: PostgreSQL / MySQL / MongoDB / Redis. - Cloud & Infrastructure: AWS / GCP / Azure (EC2, Lambda, S3, Kubernetes, Docker etc.). - Distributed task/job orchestration frameworks (e.g., Celery, Kafka, Airflow). - Monitoring tools (Prometheus, Grafana, Kibana, etc.). - Proficiency in CI/CD and automation pipelines. - Strong understanding of system design and API integrations.