Backend Developer with Advanced Golang Expertise

6 days ago

Lahore, Punjab, Pakistan beBee Careers Full time
Job Description

We are seeking a highly skilled Backend Developer with a minimum of 8-10 years of experience and strong expertise in Golang as a primary language.

The ideal candidate will have solid experience with cloud services, DevOps, cloud engineering, architecture, and SaaS. Proficiency in clean architecture, API design, debugging, profiling, and performance optimization is also essential.

This role involves designing and developing RESTful APIs and web services, creating reusable frameworks and components to support global delivery needs, and documenting work thoroughly. Additionally, the candidate will engage in quality testing/validation for changes or improved features before release and troubleshoot issues efficiently.

Key Responsibilities:

  • Design and Develop RESTful APIs and Web Services: Create scalable, secure, and efficient APIs using Golang.
  • Create Reusable Frameworks and Components: Develop modular, maintainable codebases that can be easily integrated into various projects.
  • Document Work Thoroughly: Maintain detailed documentation of codebases, APIs, and technical processes.
  • Troubleshoot Issues Efficiently: Identify and resolve bugs, errors, and performance issues in a timely manner.
Qualifications and Requirements

To succeed in this role, you will need:

  • 8-10 Years of Experience in Backend Development: Proven track record of delivering high-quality backend solutions.
  • Proficiency in Golang: Strong understanding of Golang syntax, idioms, and best practices.
  • Cloud Services and DevOps Experience: Familiarity with cloud platforms (AWS, GCP, Azure) and DevOps tools.
  • Clean Architecture and API Design: Knowledge of clean architecture principles and API design patterns.
  • Strong Problem-Solving and Analytical Skills: Ability to analyze complex problems and develop effective solutions.
Bonus Qualifications

If you possess these skills, you'll be at an advantage:

  • Knowledge of SAP Systems: Experience integrating with SAP systems, particularly Asset Management Modules.
  • Understanding of AI, ML, and LLMs: Familiarity with artificial intelligence, machine learning, and large language models.
  • Additional Programming Languages: Proficiency in C#, Python, and C++.

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