Your Role and Responsibilities Be part of transparent and responsible AI innovations. Join the Software Labs to build GenAI solutions that solve complex business problems and get an opportunity to influence the future of AI.
As Lead Full Stack Developer, you will
Design, develop, and support scalable, secure, and high-performance systems for cloud and on-premises environments that meet world-class standards.
Collaborate with architects and stakeholders to design and build systems that solve complex business problems and deliver exceptional user experiences.
Use modern architectural principles and best of the class tools and technologies
Lead Technical Initiatives that aligns with business goals and objectives.
Mentor, Coach and provide technical leadership
Work in an agile, collaborative, distributed, fast paced and exciting environment.
Stay current with industry trends, best practices, and emerging technologies to drive business value, solve complex problems, and innovate solutions that meet evolving needs.
Champion an entrepreneurial mindset and deliver unique value by leveraging industry and technology expertise to drive innovative strategies to accelerate clients’ success.
Required Technical and Professional Expertise
Experience in designing and developing large scale enterprise systems.
Twelve years of overall experience
At least eight years of experience as a Full Stack Software Developer
At least five years of experience in Python and other programming language
Experienced building Microservices & REST architectures
Knowledgeable in Front End and Back End Development programming languages and design Frameworks
Knowledgeable in Docker Containerization
A self-starter & ability to work effectively in a team environment
Quick learner
Experience in Agile SDLC (design, development, test and deploy)
Exceptional knowledge of data structures, algorithms, enterprise systems, asynchronous architectures, and object-oriented programming
Preferred Technical and Professional Expertise
Working knowledge of OrientDB and SQL Servers
Working knowledge of Data Science Libraries: Pandas, Numpy, Sckit-Learn and NetworkX
Working knowledge of DevOps practices
Working knowledge of Test Automation Tools
Design Thinking Experience
Experience in Python Programming Language
Experience with Carbon, React, and Angular Design Systems