Role Overview
We are looking for a skilled and motivated Full Stack Developer with 4–7 years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have hands-on experience across frontend and backend technologies, strong problem-solving skills, and the ability to work in an agile development environment.
The candidate will collaborate with cross-functional teams including product managers, architects, QA engineers, and DevOps teams to deliver high-quality digital solutions.
Key Responsibilities
- Design, develop, test, and maintain scalable web applications and APIs.
- Build responsive and user-friendly frontend interfaces.
- Develop backend services, business logic, and database integrations.
- Collaborate with UI/UX designers to implement modern user experiences.
- Optimize applications for performance, scalability, and security.
- Participate in code reviews and ensure adherence to coding standards.
- Troubleshoot and debug technical issues.
- Work with DevOps teams on CI/CD pipelines and deployment activities.
- Contribute to technical design discussions and architecture decisions.
- Create and maintain technical documentation.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Experience working in enterprise-scale applications.
- Exposure to AI-enabled or data-driven applications.
- Knowledge of caching, messaging queues, and event-driven architecture is preferred.
- Experience with Databricks or cloud data platforms is an added advantag
- A python developer with working 30% on React projects experience.
- Strong analytical and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work independently and collaboratively in a team environment.
- Strong ownership mindset and attention to detail.
- Ability to manage multiple priorities in a fast-paced environment
Preferred Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Experience working in enterprise-scale applications.
- Exposure to AI-enabled or data-driven applications.
- Knowledge of caching, messaging queues, and event-driven architecture is preferred.
- Experience with Databricks or cloud data platforms is an added advantage.
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