Merkle Science

Software Engineer(Intern)- Backend

Bangalore
categoryEngineering
salarynot posted
typeOn-site
posted2026-08-07
sourcemerklescience.com/careers
statuslive
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role description

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 BenefitsWe 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.

Sourced from Merkle Science's official listing — full details and how to apply at the link above.

Apply on merklescience.com →

Listing ID 80566d39f839 · sourced from Merkle Science's official careers page · Report this listing

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