About Us: We are a fast-growing startup focused on building innovative solutions for data processing and long-running computational jobs. Our platform powers Computer Vision to deliver insights and tools for large-scale operations. Join us to build the infrastructure that enables cutting-edge performance in AI and data processing! Role Overview: We are looking for a Full Stack Engineer (SDE) with expertise in building scalable backends and customer-friendly UIs. You will design, develop, and maintain the core systems that manage long-running jobs, ensuring they are reliable, efficient, and visible to users. The ideal candidate is a versatile developer, equally comfortable with backend systems, APIs, and frontend interfaces. Key Responsibilities: Design, build, and maintain backend systems that handle long-running processes and data pipelines. Develop APIs and integrations that power UIs and customer dashboards for monitoring job statuses. Create user-friendly, responsive frontends to allow customers to interact with and monitor their jobs. Ensure backend scalability, reliability, and performance for high-demand workloads. Collaborate closely with product managers, designers, and other engineers to create seamless user experiences. Implement best practices for deployment, CI/CD pipelines, and system monitoring. Debug and optimize performance bottlenecks in both frontend and backend services. Key Requirements: 3+ years of full stack development experience. Proficient in backend languages such as Python, Node.js, or Go. Experience with frontend frameworks like React, Angular, or Vue.js. Experience building APIs (REST, GraphQL) and integrating them with frontends. Familiarity with handling long-running processes, background jobs, and distributed systems. Strong understanding of cloud infrastructure and services (AWS, GCP, or Azure). Proficiency with databases (SQL and NoSQL) and scaling data-heavy applications. Knowledge of containerization (Docker, Kubernetes) is a plus. Solid experience in CI/CD, DevOps practices, and monitoring tools. Nice to Have: Experience in data processing systems or pipelines. Knowledge of real-time data visualization and customer dashboards. Familiarity with AI, machine learning, or data-heavy applications. What We Offer: Competitive salary and equity options. Flexible work arrangements (remote or in-office). Opportunity to work in a fast-paced, dynamic environment with cutting-edge technology. Direct impact on product development and customer satisfaction. Growth opportunities as we scale our team and platform.