THE AURA

Position: Full-Stack + AI / DevOps Engineer Summary We are seeking a versatile engineer with expertise in AI/ML development , full-stack web engineering , and cloud DevOps . This role is central to building and maintaining our AI-driven products and services. You will work across the technology stack — from frontend interfaces to backend APIs to cloud deployment pipelines — ensuring high performance, scalability, and reliability. Success in this role means delivering well-architected systems, collaborating effectively with cross-functional teams, and proactively identifying improvements in both our infrastructure and development processes. You will be a key contributor to innovation, system stability, and the speed of product delivery. Responsibilities Develop, and deploy AI services, including REST APIs for pose estimation and ML-based recommendation systems. Implement scalable backend systems using Node.js and PostgreSQL , ensuring security, performance, and maintainability. Build and optimize frontend applications with React.js and Express.js for high usability and responsiveness. Collaborate with UI/UX designers to transform design prototypes into functional and accessible user interfaces. Architect and maintain AWS-based cloud infrastructure to support high-availability services. Create, manage, and monitor CI/CD pipelines to automate builds, testing, and deployments. Containerize and orchestrate applications using Docker and Kubernetes for reliable, scalable deployments. Collaborate with product managers, data scientists, and engineers to integrate ML models into production environments. Troubleshoot, debug, and resolve production issues promptly to ensure uninterrupted service. Qualifications Required Skills & Experience Proficiency in AI/ML development , including pose estimation and recommendation algorithms. Experience designing and integrating REST APIs . Strong backend development skills in Node.js and relational database management with PostgreSQL . Frontend development expertise in React.js and Express.js . Hands-on DevOps experience with AWS , Kubernetes , and CI/CD tools (GitHub Actions, GitLab CI, etc.). Proficient in containerization with Docker . Solid understanding of cloud security, scaling strategies, and monitoring practices. Preferred Skills Experience working in agile, cross-functional teams. Strong problem-solving and debugging capabilities. Familiarity with microservices architecture and API security best practices. Education & Certifications (Optional) Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). AWS or Kubernetes certifications are a plus.