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1 week ago
Job Title: Full-stack Developer (Webapp for AI/ML projects) Experience: 1.5 – 3 Years Location: Kanpur (New Technopark@IIT Kanpur) Job Type: Full-Time Job Description: We are seeking a talented Full-stack Developer with experience in building and deploying web applications throughout the Software Development Life Cycle (SDLC) to production environments.
The ideal candidate will have a strong understanding of both front-end and back-end development, as well as deployment and monitoring practices.
You will collaborate with a cross-functional team, including AI/ML experts, to ensure seamless production releases and high-quality user experiences.
Qualification/Education: Bachelor's or master's degree in computer science, Engineering, or related field.
Key Responsibilities: Develop, deploy, and maintain web applications across all stages of the SDLC, from requirements gathering to production deployment.
Implement new features and address bug fixes across the full web stack (front-end and back-end).
Ensure applications are responsive, scalable, and secure, following best practices in design and deployment.
Collaborate with ML engineers, UI/UX designers, and other developers to deliver high-quality web applications.
Troubleshoot, debug, and resolve issues in production environments, ensuring uptime and performance stability.
Stay updated with the latest development practices and contribute to continuous improvement initiatives.
Required Skills: 1.5-3 years of experience in Python-based web application development and production deployment and monitoring on cloud platforms.
Experience with Django, Flask, or other Python web frameworks.
Proficiency in front-end technologies: HTML, CSS, Java Script, and experience with frameworks like React.
Strong understanding of web application architecture and production deployment on cloud platforms (AWS, GCP).
Experience with containerization tools like Docker and deployment automation through CI/CD pipelines.
Proficiency with SQL/No SQL databases (e.g., My SQL, Postgre SQL, Mongo DB).
Familiarity with version control (Git) and experience with managing production deployments and monitoring applications.
Solid knowledge of the Software Development Life Cycle (SDLC) and best practices in agile development.
Preferred: Familiarity with security best practices, performance tuning, and optimization in production environments.
Experience with testing frameworks (Jest, Py Test, etc.).
Exposure to Dev Ops tools for automated testing, continuous integration, and monitoring in production.
Employment Bond: 1 Years (With Salary increment based on first year performance)
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