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Software Engineer Intern (Frontend)

Merkle Science

Job Location:

Bengaluru - India

Monthly Salary: Not provided by the employer

Posted: 30 September 2026 (5 hours ago)

Application Deadline: 28 December 2026

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

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.

Team: Product Engineering (Frontend)

Duration: 1 year

Work Mode: Hybrid (3 days/week in office 2 days work-from-home)

Post-internship: High performers may be offered a full-time role subject to a 2-year service lock-in period

About the Role

Youll build user-facing features for our web applications dashboards investigation workflows and compliance tooling used by analysts and investigators daily.

Responsibilities

Build responsive performant UI components using ReactJS
Translate designs (Figma or similar) into clean reusable components
Integrate frontend applications with backend REST APIs
Manage application state and optimize rendering performance
Write clean maintainable and tested frontend code

Required Skills

Strong fundamentals in JavaScript (ES6) HTML CSS
Working knowledge of React hooks component lifecycle state management
Understanding of how to consume REST APIs and handle async data
Basic understanding of responsive design and cross-browser compatibility
Familiarity with Git and collaborative development workflows
Strong problem-solving fundamentals

Good to Have

Experience with TypeScript
Familiarity with state management libraries (Redux Zustand React Query)
Familiarity with charting/visualization libraries (D3 Recharts etc.) relevant for building analytics dashboards
A portfolio GitHub profile or personal projects showcasing UI work
Exposure to relevant AI tools (e.g. GitHub Copilot Claude Cursor v0 or similar AI-assisted coding/design tools)

Eligibility

Final year (graduating 2027) Degree students
From IIT / NIT / IIIT only
CSE IT or closely related computer science branches only
Strong academic record and demonstrated coding/UI ability
Preference given to candidates with open-source contributions external/personal projects beyond academic coursework and prior internship experience

Common Selection Process (suggested)

1. Resume shortlisting (as per eligibility criteria above)
2. Online coding assessment (DSA role-specific fundamentals)
3. Technical interview(s) with the engineering team
4. HR discussion / offer

How to Apply

Interested students can send their updated resume to emailprotected with the subject line: Application for Role Name Internship College Name

Well Being Compensation and Benefits

We care about your well-being. Along with excellent health insurance we offer flexible time off learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.

We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation along with generous equity. As a rapidly growing business there are endless opportunities to grow your career with Merkle Science.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

Intern

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