We are building an exceptional team of Engineers to solve problems of Demand Planning, Revenue Growth Management, and other areas of Demand-Supply Agility in CPG and Retail.
Achieving optimal outcomes across key objectives like Accuracy, Scalability, and Explainability calls for top-tier talent.
Role Summary
Individuals with demonstrated experience in Back-End Web Development responsible for managing the interchange of data between the server and the users.
Your primary focus will be development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.
You will also be responsible for integrating the front-end elements of our AI SaaS application modules and solving revenue-growth problems, at the intersection of demand and supply, which are faced by the Fortune 1000 CPG/FMCG companies.
Experience Required:
-  Strong data structures and algorithmic skills
-  Mastery of one of these programming languages: Python, C++, JavaScript, Java
-  At least 2 year experience in building micro-services using any FastAPI/Flask/Django (any python-based framework).
-  Expert in SQL and NoSQL Databases
-  Experience in designing and developing service which requires computation on large data set
-  Experience in building and designing highly performant service which runs on large data set
Good To Have
-  Full-stack web application (HTML, JavaScript, jQuery and HTTP).
-  GIT, JIRA among other software engineering processes.
-  Experience in building multi-tenant system.
Roles & Responsibilities:
-  Working with the Engineering & Product team to understand business problems and implement efficient software solutions.
-  Candidates will be responsible for unit testing, designing, developing, code reviewing, and creating HLD and LLD software features.
-  Ownership of multiple subsystems or product features.
-  Provide support for maintenance and enhancement of deployed applications.
-  Application performance management on backend and database.