Full Stack Engineer

Full Stack Engineer

Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Full Stack Engineer, a typical day involves designing, building, and refining comprehensive system features that span from the user interface to the backend infrastructure. This role requires actively engaging in the entire development lifecycle, ensuring seamless integration and functionality. The engineer collaborates with various teams to implement innovative solutions that enhance client services, while embracing modern technologies and agile methodologies to address complex business challenges in a cloud-focused environment.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead the coordination of project tasks to ensure timely delivery and quality standards.
- Mentor junior team members to foster skill development and knowledge sharing.
- Continuously evaluate and integrate emerging technologies to improve system performance and scalability.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Experience in designing and implementing scalable backend services and APIs.
- Strong knowledge of frontend technologies and frameworks to create responsive user interfaces.
- Familiarity with cloud platforms and deployment strategies to support agile development.
- Ability to troubleshoot and optimize system performance across the full technology stack.

Additional Information:
- The candidate should have minimum 7 years of experience in Machine Learning (ML).
- This position is based at our BDC11 - SEZ office.
- A 15 years full time education is required.