Job Description
Seismic is looking for talented software engineers with strong frontend and full-stack development experience who are eager to work on AI-powered interfaces, modern cloud technologies, scalable SaaS platforms, and innovative user experiences. If you have experience with React, TypeScript, JavaScript, Node.js, Python, APIs, cloud platforms, and modern web development practices, this role could be the perfect next step in your career.
Responsibilities
Build modern and responsive user interfaces using React and TypeScript. Create reusable and scalable UI components. Develop intuitive user experiences for AI-powered applications. Implement responsive designs and accessibility standards. Develop backend services using C#, Node.js, or Python. Integrate frontend applications with REST and GraphQL APIs. Collaborate on end-to-end feature implementation. Support application scalability and maintainability. Contribute to AI-driven user experiences. Support conversational AI and intelligent workflows. Work with search and retrieval systems. Participate in innovative AI feature development. Work with cloud platforms such as AWS, Azure, or GCP. Support deployment pipelines and cloud infrastructure. Contribute to cloud-native application development. Collaborate on scalable SaaS solutions. Participate in Scrum ceremonies and sprint planning. Work closely with product and design teams. Collaborate with international teams across multiple regions. Contribute to continuous improvement initiatives.
Requirements
React.js, TypeScript, JavaScript (ES6+), HTML5, CSS3. Experience with Functional Components, React Hooks, State Management Patterns, Component-Based Architecture. CSS Modules, Styled Components, Tailwind CSS. REST APIs, GraphQL APIs. Jest, React Testing Library, Cypress, Playwright. Node.js, Python, C#. Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP). GitHub Actions, Continuous Integration Pipelines, Continuous Deployment Workflows. Kubernetes (Preferred). Retrieval Augmented Generation (RAG), Generative AI Applications, Conversational AI Systems, AI Agents, Large Language Models (LLMs). Elasticsearch, Apache Solr, Semantic Search Systems.