Merkle Science

Software Engineer(Intern)- Backend

Bangalore

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hirly's read of this role

Role family: Engineering
Seniority: Internship
Country: IN
Work mode: On-site / unstated
First seen by hirly: 21 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

⚡️ About Merkle Science

Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.

Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.

Responsibilities

Design, build, and maintain backend services and REST APIs using Python(Django/FastAPI)

Write efficient queries and manage data models in PostgreSQL

Work with Redis for caching, queues, and improving service performance

Collaborate with frontend and QA engineers to ship end-to-end features

Write clean, tested, well-documented code and participate in code reviews

Debug and optimize existing services for performance and scale

Work with large datasets related to blockchain transactions (exposure to tools like ClickHouse is a plus)

Required Skills

Strong fundamentals in Python and object-oriented programming

Understanding of Django/FastAPI or any Python web framework

Working knowledge of relational databases (PostgreSQL preferred) — schema design, indexing, query optimization

Basic understanding of caching concepts and tools like Redis

Understanding of REST API design principles

Strong problem-solving and DSA fundamentals (arrays, trees, graphs, hashing)

Familiarity with Git and collaborative version control workflows

Original posting on Merkle Science's site ↗

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