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Merkle Science is hiring Software Engineer Interns with a potential pre-placement offer (PPO). The role is focused on backend software development using Python, Django/FastAPI, relational databases, REST APIs, and modern engineering practices. The opportunity is open to eligible 2027 graduates from IIT, NIT, or IIIT backgrounds. HOW TO APPLY: Apply through the official Merkle Science job application page.
Employer profile
Merkle Science is a New York-based blockchain intelligence and cryptocurrency compliance software company founded in 2018. Its products are designed for organizations that need to monitor blockchain transactions, investigate cryptocurrency activity, manage compliance risk and support anti-money-laundering controls. The company’s public profile highlights capabilities including transaction monitoring, investigations, risk management, audit, cryptocurrency intelligence and regulatory technology. Its Tracker product is positioned as an investigation-management platform for visualizing relationships among cryptocurrency addresses and entities. LinkedIn categorizes Merkle Science under Software Development, lists a 51-200 employee range and identifies New York as headquarters. The company operates in a sector serving financial institutions, regulators, law-enforcement organizations and other participants in the digital-asset ecosystem. A detailed employee-benefits program was not publicly identified in the reviewed sources.
The listed salary for Software Engineer Intern (+PPO) at Merkle Science is ₹80,000/month.
This position is based in Bangalore (On-site).
Apply through the Apply button on this HireDoor job page for Software Engineer Intern (+PPO) at Merkle Science.
Key benefits include: ₹80,000/month internship stipend.; Potential pre-placement offer (PPO).; Hands-on experience with Python backend development.; Exposure to Django, FastAPI, PostgreSQL, Redis, and REST APIs.; Opportunity to work with Docker and message queues such as Celery, Kafka, and RabbitMQ.; Exposure to blockchain and cryptocurrency-related technologies.; Opportunity to work with modern AI-assisted coding tools.; Practical experience with real-world software engineering and backend systems..
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