Senior Backend Development Specialist

1 week ago

Hyderabad, Telangana, India beBeeBackend Full time ₹ 18,00,000 - ₹ 22,00,000

Are you an expert in backend services and API design? We are seeking a talented Lead Engineer to join our team.

Job Description

The ideal candidate will have a strong background in Python or Go, with experience in designing and implementing scalable backend services and APIs. They will be responsible for building and maintaining high-performance systems and data pipelines that power core product features.

Key Responsibilities
  • Design and implement scalable backend services and APIs in Python or Go
  • Build and maintain high-performance systems and data pipelines that power core product features
  • Write clean, testable, modular code that scales and is easy to maintain
  • Collaborate with DevOps, platform, and product teams to ensure seamless integrations
  • Participate in system design, code reviews, and architecture planning sessions
  • Leverage and contribute to open-source tools and components
  • Troubleshoot, debug, and optimize distributed systems for performance and reliability
  • Help define and evolve foundational platform building blocks
Requirements
  • 4-8 years of experience building backend systems or platform services
  • Strong command of Python (experience with Go is a plus)
  • Proven ability to design, build, and scale robust APIs and backend infrastructure
  • Solid understanding of system design principles and distributed systems
  • Proficient in SQL and working with data-centric applications
  • Comfortable working in containerized environments (Docker, Kubernetes)
  • Experience with modern development practices (CI/CD, testing, version control)
Good to Have
  • Experience with event-driven architectures and asynchronous systems
  • Familiarity with gRPC, GraphQL, or modern API protocols
  • Exposure to cloud-native platforms (AWS, GCP, or Azure)
  • Open-source contributions or a strong GitHub profile
  • Hands-on work with data warehouses, data lakes, or modern data platforms
  • Building developer-facing tools or internal platform services

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