Merkle Science
Software Engineer - Intern (Frontend)
Employment
Full-timeFrom the employer
Full-Time
Level
InternshipTeam
EngineeringCountry assessment
Not doable from Austria because the employer's own board marks it as not remote.
Our assessment is guidance. Confirm arrangements with the employer.
Skills mentioned in this posting
Job description
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
You'll build user-facing features for our web applications — dashboards, investigation workflows, and compliance tooling used by analysts and investigators daily.
Responsibilities
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Build responsive, performant UI components using ReactJS
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Translate designs (Figma or similar) into clean, reusable components
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Integrate frontend applications with backend REST APIs
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Manage application state and optimize rendering performance
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Write clean, maintainable, and tested frontend code
Required Skills
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Strong fundamentals in JavaScript (ES6+), HTML, CSS
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Working knowledge of React — hooks, component lifecycle, state management
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Understanding of how to consume REST APIs and handle async data
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Basic understanding of responsive design and cross-browser compatibility
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Familiarity with Git and collaborative development workflows
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Strong problem-solving fundamentals
Good to Have
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Experience with TypeScript
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Familiarity with state management libraries (Redux, Zustand, React Query)
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Familiarity with charting/visualization libraries (D3, Recharts, etc.) — relevant for building analytics dashboards
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A portfolio, GitHub profile, or personal projects showcasing UI work
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Exposure to relevant AI tools (e.g., GitHub Copilot, Claude, Cursor, v0, or similar AI-assisted coding/design 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/UI ability
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Preference given to candidates with open-source contributions, external/personal projects beyond academic coursework, and prior internship experience
Common Selection Process (suggested)
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1. Resume shortlisting (as per eligibility criteria above)
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2. Online coding assessment (DSA + role-specific fundamentals)
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3. Technical interview(s) with the engineering team
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4. HR discussion / offer
How to Apply
Interested students can send their updated resume to [email protected] with the subject line: "Application for [Role Name] Internship – [College Name]"