Scalable System Developer

2 days ago

Tiruppur, Tamil Nadu, India beBeeBackend Full time ₹ 1,20,00,000 - ₹ 1,80,00,000

Job Opportunity: Backend Engineer

Overview

As a key player in our engineering team, you will be responsible for designing, building, and maintaining scalable backend systems. This role requires expertise in Golang, Python, or JavaScript/TypeScript.

  • Design, build, and maintain scalable backend systems using Golang, Python, or JavaScript/TypeScript
  • Collaborate with cross-functional teams including front-end developers, product managers, and QA engineers
  • Write clean, efficient, and maintainable code that adheres to best practices
  • Optimize and troubleshoot backend systems for performance and scalability
  • Develop RESTful and GraphQL APIs for internal and external integrations
  • Design and manage databases – relational and NoSQL – for optimal data flow and integrity
  • Integrate AI tools and frameworks for automation, analytics, and intelligent features
  • Conduct code reviews and mentor junior developers
  • Ensure system security and data protection in compliance with industry standards
Requirements

To succeed in this position, you should possess:

  • 4+ years of backend development experience in Golang, Python, or JavaScript/TypeScript
  • Strong system design expertise for scalable and maintainable solutions
  • Proficiency in RESTful API development and integration
  • Experience with PostgreSQL, MySQL, MongoDB, or similar databases
  • Familiarity with Git, CI/CD pipelines, and collaborative coding practices
  • Cloud experience with AWS, GCP, or Azure; and containerization with Docker/Kubernetes
  • Solid understanding of multithreading and concurrency
  • Experience or interest in AI technologies for automation and decision support
  • Excellent problem-solving and communication skills in a collaborative setup

We encourage applicants with preferred skills including familiarity with microservices architecture, experience using Kafka, RabbitMQ, or other messaging systems, exposure to DevOps tools and serverless environments, hands-on experience with GraphQL, and integration of AI solutions in production environments.

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