Full Stack Engineer

4 - 8 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Full Stack Engineer at Stralto Global, your primary responsibility will be the development and maintenance of robust web applications, ensuring real-time interactivity, performance, and seamless integration with data and AI services. You will collaborate with cross-functional teams, including AI engineers, product strategists, and UX designers. You will be responsible for developing responsive and dynamic frontend applications using Angular, implementing real-time features using WebSockets for streaming data and agent communication. Additionally, you will build and maintain backend APIs and services using Python and Flask, ensuring performance and scalability. Your role will involve designing and querying relational databases efficiently, integrating front-end components with backend services, collaborating closely with DevOps, product, and AI teams to deploy features into production, and writing clean, maintainable, and well-documented code. Furthermore, you will conduct unit and integration testing to ensure robustness and reliability, as well as participate in architecture discussions and technical reviews to guide feature development. The ideal candidate will have at least 3-6 years of experience building full stack applications in production environments. You should have strong proficiency in Angular, experience with WebSocket-based communication, proficiency in Python and Flask for backend development, solid experience with SQL databases and query optimization, familiarity with RESTful APIs and application state management, and an understanding of deployment best practices, version control (Git), and agile development workflows. Nice-to-have skills include experience with Azure, Docker, or Kubernetes for deploying applications at scale, a background in real-time dashboards, data visualizations, or event-driven systems, knowledge of authentication protocols such as OAuth2 and JWT, and exposure to AI/ML-based platforms or previous experience working with data scientists or ML engineers.,

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