Senior / Mid Full-Stack Engineer
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About the Role
CASABOT is looking for a Senior / Mid Full-Stack Engineer to help build and scale the next generation of intelligent product experiences.
Key Skills for This Role
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Overview
CASABOT is looking for a Senior / Mid Full-Stack Engineer to help build and scale the next generation of intelligent product experiences.
This role is for an engineer who can move confidently across frontend, backend, integrations, and cloud infrastructure while keeping product quality, performance, and developer discipline high.
You will work on modern web applications, real-time product experiences, backend services, third-party integrations, and scalable architecture.
We are looking for someone with strong hands-on engineering skills, good product sense, and the ability to work in a fast-moving environment where clarity, ownership, and execution matter.
Role Overview As a Full-Stack Engineer at CASABOT, you will contribute to the design, development, integration, and optimization of core product capabilities.
You should be comfortable building with the MERN stack, shaping frontend architecture with React / Next.js, designing backend services with Node.js / Express, and working with databases and real-time communication patterns.
This role also requires practical experience with third-party APIs, API versioning, CI/CD, Docker, AWS, logging, debugging, and collaborative engineering practices.
You should be able to contribute not just code, but also structure, documentation, and sound engineering judgment.
Key Responsibilities
Design, build, and maintain full-stack product features using React / Next.js, Node.js / Express, and modern JavaScript/TypeScript tooling Develop scalable, maintainable frontend and backend systems using the MERN stack Build responsive, clean, and performant user interfaces with strong attention to usability and engineering quality Streamline frontend architecture, component structure, and overall application flow for maintainability and scale Design and integrate backend APIs and services with external systems and third-party platforms Manage and improve API integrations, including reliability, backward compatibility, and API versioning Work with PostgreSQL, MySQL, and MongoDB based on product and system requirements Implement authentication and security mechanisms including OAuth, JWT, and 2FA Build and maintain real-time capabilities using WebSockets Write clean, reusable, and well-documented code Contribute to technical architecture decisions across frontend, backend, integration, and deployment layers Support CI/CD pipelines, containerized workflows, and cloud deployments Use Docker for development, testing, packaging, and deployment workflows Work hands-on with AWS services for hosting, infrastructure, storage, or application deployment Implement structured logging, monitoring, and debugging approaches across services and applications Troubleshoot complex issues across frontend, backend, APIs, databases, and infrastructure Collaborate closely with product, design, engineering, and leadership teams Use AI / GenAI tools effectively to improve productivity, development workflows, problem-solving, and delivery speed Requirements Skills MERN stack JavaScript, TypeScript React, Next.js Node.js, Express PostgreSQL, MySQL, MongoDB OAuth, JWT, 2FA WebSockets Python Third-party API integrations API versioning CI/CD Git workflows Docker AWS System architecture Frontend optimization Logging and debugging Technical documentation AI / GenAI tools Degree Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field Equivalent practical experience is also acceptable Preferred Qualifications Experience designing scalable product architecture across frontend and backend systems Familiarity with observability, structured logging, and monitoring practices Experience working on SaaS platforms, connected products, or real-time applications Strong product intuition and ability to simplify engineering complexity Experience using AI-assisted development and GenAI tools in an effective and disciplined way
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