Backend System Architect

2 days ago

Amrāvati, Maharashtra, India beBeeBackend Full time ₹ 18,00,000 - ₹ 24,00,000
Job Title: Backend Developer

Our company is seeking an experienced and skilled Backend Engineer to join our engineering team.

The successful candidate will be responsible for designing, building, and maintaining scalable backend systems using Golang, Python, and JavaScript/TypeScript.

Key Responsibilities:

  • Design, build, and maintain scalable backend systems.
  • 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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