Backend Engineer-NodeJS

Job Responsibilities

Job Description-

Qualification-

• Proven experience as a Full Stack Developer, from a product background, preferably in a Gaming, D2C, B2C, social media or consumer-facing platform.
• Proficiency in front-end technologies like Flutter & Angular.
• Expertise in back-end development with programming languages such as Node.js. GraphQL is a plus.
• Strong knowledge of database systems like MongoDB, SQL, Redis and experience in optimizing database queries.
• GCP Firestore database is a plus.
• Experience integrating third-party APIs and working with external service providers.
• Experience with AWS/GCP and Kubernetes/Docker.
• Familiarity with real-time data processing technologies like Kafka, Apache Storm, or Apache Flink is a plus.
• Understanding of security best practices and data protection measures.
• Strong problem-solving skills, attention to detail, and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills, with a passion for teamwork and innovation.

Responsibilities-

• Cutting-edge front-end development: Bring creative and intuitive user interfaces to life using Flutter & Angular. Work closely with our design team to transform wireframes and mockups into visually appealing and responsive interfaces that captivate users.
• Scale back-end systems: Architect and develop robust and scalable back-end systems using programming languages like Node.js & Python. Leverage your expertise to design and optimize database schemas, implement APIs, and handle complex data processing and storage requirements.
• Develop innovative features and functionalities: Collaborate with product managers and designers to conceptualize, prototype, and implement innovative features and functionalities that set part from other social media platforms. Drive user engagement through interactive elements, personalized recommendations, and content curation mechanisms.
• Real-time data processing: Implement real-time data processing and streaming capabilities to handle large volumes of user-generated content and facilitate instantaneous updates across the platform. Use technologies like Kafka, Apache Storm, or Apache Flink to power the real-time aspects.