À propos de ce poste Software Engineer(Intern)- Backend chez Merklescience
Responsibilities
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Design, build, and maintain backend services and REST APIs using Python(Django/FastAPI)
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Write efficient queries and manage data models in PostgreSQL
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Work with Redis for caching, queues, and improving service performance
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Collaborate with frontend and QA engineers to ship end-to-end features
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Write clean, tested, well-documented code and participate in code reviews
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Debug and optimize existing services for performance and scale
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Work with large datasets related to blockchain transactions (exposure to tools like ClickHouse is a plus)
Required Skills
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Strong fundamentals in Python and object-oriented programming
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Understanding of Django/FastAPI or any Python web framework
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Working knowledge of relational databases (PostgreSQL preferred) — schema design, indexing, query optimization
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Basic understanding of caching concepts and tools like Redis
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Understanding of REST API design principles
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Strong problem-solving and DSA fundamentals (arrays, trees, graphs, hashing)
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Familiarity with Git and collaborative version control workflows
Good to Have
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Exposure to Docker/containers
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Familiarity with message queues (Celery, Kafka, RabbitMQ)
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Personal projects, open-source contributions, or competitive programming profile
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Curiosity about blockchain/crypto — no prior crypto knowledge required
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Exposure to relevant AI tools (e.g., GitHub Copilot, Claude, Cursor, or similar AI-assisted coding tools)
Eligibility
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Final year (graduating 2027) B.Tech/B.E./Dual Degree students
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From IIT / NIT / IIIT only
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CSE, IT, or closely related computer science branches only
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Strong academic record and demonstrated coding ability (via projects, competitive programming, or coursework)
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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
