Senior Backend Engineer

• Design and develop scalable, maintainable, and high-performance backend services using Python or Node.js and related frameworks (e.g., Django, Flask, FastAPI, Express or NestJS). 
• Architect, implement, and optimize RESTful APIs, ensuring robust integrations with external data sources, third-party applications, and client systems. 
• Develop data models and design database schemas for high-availability storage solutions (e.g., PostgreSQL, MySQL, NoSQL databases). 
• Develop and manage complex data pipelines, ensuring seamless data flow and transformation. 
• Implement and maintain caching, queuing, and messaging mechanisms to optimize performance and reliability. 
• Collaborate with DevOps team to automate deployment, improve CI/CD processes, and monitor infrastructure for platform scalability. 
• Conduct code reviews, mentor junior developers, and contribute to a collaborative and high-performance engineering culture. 
• Engage with product and design teams to understand requirements, translate them into technical specifications, and deliver impactful features. 
• Ensure security best practices, including data protection, access control, and vulnerability management, are integrated into development workflows.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in backend development with a strong focus on Python or Node.js.
• Strong proficiency with one or more web frameworks (Django, Flask, FastAPI, Express, NestJS) and RESTful API design. 
• In-depth experience with SQL and NoSQL databases, schema design, and query optimization. 
• Proficient in designing and implementing scalable, fault-tolerant, and high-performance systems. 
• Experience with microservices architecture and related technologies. 
• Solid understanding of software development lifecycle (SDLC) practices, including agile methodologies, CI/CD, and version control. 
• Experience with cloud platforms (preferably AWS) and infrastructure as code (Terraform, CloudFormation). 
• Knowledge of caching strategies, such as Redis or Memcached, and messaging systems like RabbitMQ or Kafka. 
• Excellent problem-solving skills and ability to handle complex technical challenges. 
• Strong collaboration and communication skills, with a proactive approach to knowledge sharing and mentoring.

Preferred Qualifications

• Familiarity with machine learning concepts and integrating ML models into backend services. 
• Experience with Docker and Kubernetes. 
• Knowledge of data security and compliance frameworks, such as GDPR and CCPA.

• Highly competitive salary based on experience.
• Regular health check.
• Flexible working hours.
• Full sponsorship of transportation expenses.
• Opportunity to work with cutting-edge technology in a dynamic and fast-paced industry.
• Professional development and educational opportunities.