Software Engineer(Intern)- Backend

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

Good to Have

• Exposure to Docker/containers
• Familiarity with message queues (Celery, Kafka, RabbitMQ)
• Personal projects, open-source contributions, or competitive programming profile
• Curiosity about blockchain/crypto - no prior crypto knowledge required
• Exposure to relevant AI tools (e. g. , GitHub Copilot, Claude, Cursor, or similar AI-assisted coding tools)

Eligibility

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

Duration: 1 year

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

Stipend: [As per company policy]

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

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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.