Full Stack Engineer (Angular + Python/Flask)

Role Overview As a Full Stack Engineer at Stralto Global, you’ll be responsible for developing and maintaining robust web applications, ensuring real-time interactivity, performance, and seamless integration with data and AI services. You'll collaborate with cross-functional teams including AI engineers, product strategists, and UX designers. Key Responsibilities Develop responsive and dynamic frontend applications using Angular (latest version). Implement real-time features using WebSockets for streaming data and agent communication. Build and maintain backend APIs and services using Python and Flask , ensuring performance and scalability. Design and query relational databases (PostgreSQL/MySQL) efficiently; write optimized SQL queries. Integrate front-end components with backend services, ensuring end-to-end reliability and performance. Collaborate closely with DevOps, product, and AI teams to deploy features into production. Write clean, maintainable, and well-documented code. Conduct unit and integration testing to ensure robustness and reliability. Participate in architecture discussions and technical reviews to guide feature development. Required Skills 3–6 years of experience building full stack applications in production environments. Strong proficiency in Angular (components, services, routing, RxJS). Experience with WebSocket-based communication , preferably in enterprise or high-throughput environments. Proficiency in Python and backend development using Flask . Solid experience with SQL databases , query optimization, and schema design. Familiarity with RESTful APIs and application state management. Understanding of deployment best practices, version control (Git), and agile development workflows. Nice-to-Have Experience with Azure , Docker , or Kubernetes for deploying applications at scale. Background in real-time dashboards , data visualizations , or event-driven systems . Knowledge of authentication protocols (OAuth2, JWT) and API security. Exposure to AI/ML-based platforms or previous experience working with data scientists or ML engineers. Show more Show less