Full-Stack Engineering Manager

4 weeks ago

Pune, India Codvo.ai Full time

Company Overview:

Codvo.ai is a leading technology-driven organization that specializes in building innovative and cutting-edge AI-powered and Cloud First applications. We are dedicated to pushing the boundaries of technology to deliver exceptional solutions that transform industries and improve lives.

Responsibilities:

  • Lead and manage a teams of Full Stack Leads and Engineers, providing technical guidance, mentorship, and support to drive team performance and growth.
  • Architect and design scalable and robust full-stack solutions that leverage AI and cloud technologies to achieve business objectives.
  • Collaborate with AI engineers and data scientists to integrate machine learning models and algorithms into applications.
  • Conduct code reviews, enforce coding standards, and promote best practices to maintain code quality and consistency.
  • Champion a culture of innovation, collaboration, and continuous improvement within the engineering team.
  • Drive the adoption of Cloud First principles, including scalability, elasticity, and cost optimization.
  • Monitor project progress and ensure timely delivery of AI and Cloud First applications.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 10-12 years of proven experience in Full Stack development, with significant experience in AI-driven and Cloud First application development.
  • 4-6 years of experience in team leadership and people management, with a track record of building and retaining high-performing engineering teams.
  • Expertise in front-end and back-end technologies, including but not limited to HTML, CSS, JavaScript, Vue, React Native, React, Node.js, Python, and database systems (SQL and NoSQL).

Preferred Skills:

  • Demonstrated experience with cloud platforms such as AWS, Azure, or Google Cloud, and implementing Cloud First principles
  • Knowledge of AI/ML libraries and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Understanding of DevOps practices and CI/CD pipelines.
  • Contribution to open-source projects or AI-related research.

Work Location : Remote

Work Timings : 3pm- 12 am

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