Build and maintain user-friendly and responsive front-end interfaces using modern JavaScript frameworks (e.g., React, Angular, Vue.js).Write clean, well-documented, and testable code.
Perform QC activities on one or more web-based applications.
Debug and troubleshoot issues across software application(s), ensuring timely resolution.
Collaboration and Communication
Work closely with Senior Engineers, and Product Managers to understand requirements and translate them into technical specifications.
Communicate effectively with both technical and non-technical audiences.
Contribute to team knowledge sharing and documentation efforts.
Educational qualification
Bachelor's degree in computer science, Software-Engineering, or a related field.
Experience:3 - 6 years of professional software development experience
3+ years of experience with Java 8+ / Python and related web frameworks (Springboot, SpringMVC, Django, Flask, FastAPI).
Strong experience with front-end development using modern JavaScript / Typescript frameworks (React, Angular, Vue.js, HTML, CSS3)Experience designing and developing RESTful APIs.
Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Experience working in an agile development environment.
Mandatory/requires Skills
Technical Skills -
Proficient in Java 8+ / Python programming language.
Strong understanding of web development principles and best practices.
Solid understanding of data structures and algorithms.
Experience with testing frameworks (e.g., junit, pytest, unittest).
Familiarity with version control systems (Git).Experience working on Linux OS
Soft Skills -
Excellent communication, interpersonal, and collaboration skills.
Strong problem-solving and analytical skills.Ability to work independently and as part of a team.
Passion for learning and staying up to date with the latest technologies.
Good To have skills
Experience deploying and maintaining applications in cloud environments (AWS, Azure, GCP).Familiarity with CI/CD pipelines for automated deployments, containerization (docker) and Kubernetes
Understanding of scalable and reliable infrastructure design principles.
Ability to build tools for data analysis, visualization, and modeling.
Exposure to integrating ML algorithms or models into applications
Interest in exploring novel solutions to complex technical problems.
Awareness of coding standards, best practices, and emerging technologies.
Experience with specific research domains (e.g., machine learning, data science, scientific computing).
BE/MCA
6+ Yrs