Senior Developer Lead: Innovating AI Solutions

16 hours ago

Lahore, Punjab, Pakistan beBee Careers Full time

As a Full Stack Senior Developer Lead, you will be at the forefront of our innovation journey, driving the development of cutting-edge AI solutions.

About this Role

We are seeking an experienced full stack developer to lead our team in creating innovative AI solutions. The ideal candidate will have a strong background in software engineering and experience with RESTful APIs and microservices architecture.

Responsibilities
  • Lead the design and development of full stack applications using a range of technologies including Azure services such as App Service, Functions, and Azure SQL.
  • Develop and maintain high-quality code, ensuring it is scalable, efficient, and follows best practices.
  • Collaborate with cross-functional teams to identify and prioritize project requirements.
  • Mentor junior developers and provide guidance on technical matters.
  • Stay up-to-date with industry trends and emerging technologies, applying this knowledge to improve our products and services.
Requirements
  1. Bachelor's degree in Computer Science or related field.
  2. 7+ years of experience in full stack development.
  3. Extensive experience with RESTful APIs and microservices architecture.
  4. Solid understanding of software design patterns and principles.
  5. Expertise in data modeling techniques and tools (e.g., entity-relationship diagrams, dimensional modeling).
  6. Proficiency in Power BI for creating interactive dashboards and reports.
  7. Experience with data integration methods and technologies.
  8. Strong knowledge of data governance principles and practices.
  9. Familiarity with big data technologies (e.g., Hadoop, Spark).
  10. Experience with version control systems (e.g., Git) and CI/CD pipelines.
  11. Excellent problem-solving and analytical skills.
  12. Strong leadership and communication abilities.
  13. Proven track record of delivering complex projects on time.
  14. Preferred Qualifications:
  15. Master's degree in Computer Science or related field.
  16. Experience with cloud platforms (AWS, Azure, or GCP) and their data services.
  17. Knowledge of data quality processes and tools.
  18. Familiarity with containerization technologies (Docker, Kubernetes).

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