Full Stack Engineer (SDE)

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.