Trademo - Backend Developer - Python/Django (3-6 yrs)

Role: SDE Backend 2.

Required Skills : Python Django, ElasticSearch.

Added Advantage : GoLang, System Design.

About Trademo.

Trademo is a globally recognized Supply Chain Intelligence SaaS Company, headquartered in the heart of Palo Alto, CA.

At Trademo, we're on a mission to harness the power of data to transform the world of global trade.

Our proprietary algorithms gather and analyze public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG, and other events.

We process over 50 terabytes of data using cutting-edge technologies like Graph Databases, Vector Databases, ElasticSearch, MongoDB, NLP, and Machine Learning (LLMs) to provide end-to-end visibility into Global Supply Chains.

Our vision is to establish a single source of truth for global supply chains, enabling both large and small businesses to uncover new commerce opportunities, ensure compliance with trade regulations, and enhance operational resilience.

Already, over 140+ enterprise customers, including industry giants like Amazon, DHL, Unilever, and Blueberry, trust Trademo's platform to navigate the complex world of global trade.

Skills Required :

- 3-6 years of relevant work experience in Python( Django), ElasticSearch and preffered MongoDB, Redis, Postgres, Microservices, Performance , Security , Caching Strategies etc.

- Should always be eager to learn, build and make a culture of innovation.

- Should have infectious enthusiasm, visionary mindset , entrepreneurial zeal, sportsman spirit , Pragmatic thinking.

- Should best at communication , Empathy driven, lead by example , emotionally intelligentperspective and data driven.

What you will be doing here :

- Be hands-on in development.

- You will get the opportunity to work on the production level code.

- Implement design patterns for development of new features.

- Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team.

- Developing scalable applications over a large volume of data hosted across multiple Elasticsearch clusters to retrieve in least amount of time through REST APIs.

- Should be able to adopt, newer pattern of data storage.

- Own, innovate, and maintain the backend infrastructure.

- Collaborate with teams and share knowledge via tech talks and promote tech and engineering best practices within the team.