Quality Assurance Engineer

About Trademo

Trademo is a Global Supply Chain Intelligence SaaS Company, headquartered in

Palo-Alto, US. Trademo collects public and private data on global trade

transactions, sanctioned parties, trade tariffs, ESG and other events using its

proprietary algorithms.Trademo analyzes and performs advanced data processing

on billions of data points (50Tb+) using technologies like Graph Databases,

Vector Databases, ElasticSearch, MongoDB, NLP and Machine Learning (LLMs) to

build end-to-end visibility on Global Supply Chains. Trademo’s vision is to build a

single truth on global supply chains to different stakeholders in global supply

chains - discover new commerce opportunities, ensure compliance with trade

regulations, and automation for border security.

Trademo stands out as one of the rarest Indian SaaS startups to secure 12.5 mn

in seed funding. Founded by Shalabh Singhal, who is a third-time tech

entrepreneur and an alumni of IIT BHU, CFA Institute USA, and Stanford GSB

SEED. Our Trademo is backed by a remarkable team of leaders and

entrepreneurs like Amit Singhal (Former Head of Search at Google),

Sridhar Ramaswamy (CEO, Snowflake), Neeraj Arora (MD, General

Catalyst & Former CBO, Whatsapp Group).

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Role: QA Engineer

Website: www.trademo.com

Location: Onsite - Gurgaon

What will you be doing here?

● Design, develop, and execute test plans and test cases (manual

and/or automated).

● Identify, document, and track bugs and inconsistencies.

● Help define and improve our QA processes and tools.

● Participate in release planning and own the final sign-off for

production releases.

● Contribute to a culture of continuous improvement, quality, and

innovation.

Requirement

● 2+ years of QA experience (manual or automated).

● B.tech/M.tech/MCA in computer science or a related field.

● Basic understanding of APIs and tools like Postman or Swagger.

● Experience testing web and/or mobile applications.

● Comfortable working in a fast-paced, agile environment.

● Experience in working with platforms which work on large amounts of data

is a plus