Full Stack Engineer
7 days ago
Job Role: Full Stack Developer
Job Type: Permanent Full time
Location: Hybrid
Notice Period: Immediate -1 month
Experience: 2 to 7 years
Responsibilities:
1. Develop and maintain responsive web applications utilizing modern front-end libraries and frameworks, such as React, Next.js, and Material-UI.
2. Collaborate with cross-functional teams to gather and understand requirements, translating them into technical solutions that meet business needs.
3. Build and optimize efficient back-end systems using Node.js and Python, ensuring seamless integration with front-end components.
4. Design and implement secure and scalable databases, including MySQL, MongoDB, Postgres, and Redis, for data storage and retrieval.
5. Leverage AWS services to deploy, manage, and monitor applications in a cloud environment, enhancing reliability and performance.
6. Utilize DevOps best practices to streamline development workflows, automate deployment processes, and ensure smooth operations.
7. Demonstrate expertise in data structures, algorithms, and system design to create efficient and robust software solutions.
8. Investigate and adopt emerging technologies and best practices to enhance product functionality, performance, and user experience.
Requirements:
1. 2 to 7 years of professional experience as a Full Stack Developer, with a portfolio showcasing successful project contributions.
2. Proficiency in front-end technologies, including HTML, CSS, JavaScript, React.js,), Next.js, and Material-UI.
3. Strong back-end development skills using Node.js (Express, Nest.js, etc.) and Python (Django, Flask, etc.), with examples of projects showcasing this expertise.
4. Knowledge of additional programming languages like Java and Python is a plus.
5. Experience with both SQL and NoSQL databases, such as MySQL, MongoDB, PostgreSQL, and Redis.
6. Familiarity with AWS services for deployment, scaling, and monitoring.
7. Bonus points for DevOps experience, contributing to CI/CD pipelines and infrastructure management.
8. Solid grasp of data structures, algorithms, and system design principles.
9. Understanding of large-scale system architecture and performance optimization.
10. Previous exposure to startup environments is a plus, highlighting adaptability and resourcefulness.
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