Mumbai, Maharashtra, India
Information Technology
Full-Time
Uber
Overview
About The Role
Uber for Business is one of the fast growing businesses in Uber with a strong growth trajectory.
The candidate will drive the tech strategy and execution for building experiences for small and medium sized businesses to become and sustain as Uber for Business customers .
Ideal candidate is someone who has worked around AI integration into chatbots. Someone who understands LLM and how RAG can be leveraged to provide best in class customer experience.
Uber for Business is one of the fast growing businesses in Uber with a strong growth trajectory.
The candidate will drive the tech strategy and execution for building experiences for small and medium sized businesses to become and sustain as Uber for Business customers .
- What You Will Do ----
- Architect, design, and develop robust backend services and scalable APIs.
- Ensure the scalability, performance, and reliability of software applications.
- Conduct code reviews, design discussions, and technical mentorship.
- Collaborate with cross-functional teams to deliver comprehensive, end-to-end solutions.
- Stay current with emerging technologies and industry trends to drive innovation.
- Troubleshoot and resolve critical issues in production and development environments.
- Provide strategic technical leadership to influence the direction of Uber's technology stack.
- Develop and maintain comprehensive documentation for software projects and processes.
- What You Will Need ----
- 10+ years of experience in full-stack software development.
- Expert proficiency in backend technologies such as Java, Python, Node.js, or Go.
- Deep understanding of database technologies, including SQL and NoSQL databases.
- Strong knowledge of data engineering principles and ETL processes
- Experience with designing and developing RESTful APIs.
- Mastery of version control systems such as Git.
- Exceptional problem-solving skills and ability to lead collaborative teams.
- Excellent communication skills, both verbal and written.
Ideal candidate is someone who has worked around AI integration into chatbots. Someone who understands LLM and how RAG can be leveraged to provide best in class customer experience.
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