Systems Architect

2 days ago

Ghaziabad, Uttar Pradesh, India beBeeBackendDeveloper Full time ₹ 24,00,000 - ₹ 32,00,000
Backend Developer Position

We are seeking a talented and self-driven Backend Developer to join our engineering team. This role is ideal for someone who is passionate about building scalable backend systems, enjoys solving complex problems, and thrives in a collaborative, fast-paced environment.

You will play a key role in designing and implementing core services and features that power our platform, leveraging Golang and Node.js to build scalable and maintainable backend services.

Key Responsibilities:

  • Design, build, and maintain scalable backend services using Golang and Node.js.
  • Architect and implement microservices using Docker and Kubernetes.
  • Collaborate with cross-functional teams to develop features and improve system performance.
  • Apply computer vision techniques to real-world problems, optimizing backend processing pipelines.
  • Contribute to infrastructure design and ensure seamless deployment through CI/CD pipelines.
  • Follow best practices in version control using Git, including branching, merging, and code review workflows.
  • Monitor, debug, and enhance the performance of backend services in production.

Required Skills and Qualifications:

  • Proficiency in Golang and Node.js.
  • Strong experience with Docker and Kubernetes.
  • Solid understanding of computer vision algorithms and applications.
  • Proven experience in designing scalable backend architectures.
  • Proficiency with Git and effective branching strategies.
  • Familiarity with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
  • Sound understanding of microservices architecture.

Benefits:

  • Excellent problem-solving and analytical thinking.
  • Strong verbal and written communication skills.
  • Team player who thrives in a dynamic and fast-paced setting.
  • Proactive, self-motivated, and able to take ownership of deliverables.

Preferred Qualifications:

  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.

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