Software Engineer for High-Impact Projects

3 days ago

Bareilly, Uttar Pradesh, India beBeeBackend Full time ₹ 10,00,000 - ₹ 20,00,000
Backend Software Engineer

We are seeking an experienced and skilled Backend Software Engineer to join our engineering team. This is an exciting opportunity to work on high-impact projects, design scalable systems, and contribute to the development of a cutting-edge platform.

  • Key Responsibilities:
  • Design, build, and maintain scalable backend systems using Golang, Python, and 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.
Required Skills and Qualifications
  • 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.
Preferred Skills
  • Familiarity with microservices architecture.
  • Experience using Kafka, RabbitMQ, or other messaging systems.
  • Exposure to DevOps tools and serverless environments.
  • Hands-on experience with GraphQL.
  • Integration of AI solutions in production environments.

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