Full-Stack Engineer (AI - 09142026 - FTFSE)

Position: Full-Stack Engineer

Number of hours: 40 hours per week
Schedule: 8:00 AM – 5:00 PM UK Time
Key Responsibilities

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Design, develop, and maintain a scalable multi-chain crypto analytics platform using modern full-stack technologies.

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Build and enhance responsive frontend applications using Next.js, React, and Tailwind CSS, including dashboards, token analytics pages, watchlists, and user-facing interfaces.

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Develop robust backend services using Node.js (Express/Fastify) to support API integrations, data processing, authentication, caching, and business logic.

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Integrate and normalize data from multiple blockchain and third-party providers, including token price feeds, liquidity data, volume tracking, trending tokens, and security analysis APIs.

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Build secure API gateway layers that protect third-party API credentials while managing rate limits, caching strategies, and provider reliability.

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Develop database structures and optimize queries using PostgreSQL for users, token metadata, watchlists, chat history, and cached analytics data.

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Implement background processing systems using tools such as Redis and BullMQ for scheduled jobs, token discovery, risk analysis updates, and data refresh workflows.

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Develop real-time functionality using WebSockets / Socket.io, including live price updates and future token-based chat features.

- Contribute to the implementation of blockchain safety features, including:
- Honeypot detection integrations

- Contract risk analysis

- Token safety scoring workflows

- Rug-risk data processing

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Create reliable systems with proper handling of API failures, rate limits, incomplete data, and service outages.

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Implement automated testing strategies using tools such as Jest/Vitest and Playwright to ensure application reliability and accuracy.

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Collaborate closely with the founder and existing engineering team to translate product requirements, technical decisions, and architecture plans into production-ready features.

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Participate in code reviews, technical discussions, system design improvements, and deployment processes.

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Support continuous improvements in scalability, security, performance, and user experience as the platform grows.

Qualifications
Required Qualifications

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Proven experience as a Full-Stack Engineer, Full-Stack Developer, Software Engineer, or similar role building production-level web applications.

- Strong proficiency in:
- JavaScript / TypeScript

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React.js

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Next.js

- Node.js

- Tailwind CSS

- Strong backend development experience including:
- REST API development

- API integrations

- Authentication and authorization

- Backend architecture and service design

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Hands-on experience with relational databases, particularly PostgreSQL , including database design, optimization, and data modeling.

- Experience building applications that consume and process external APIs, including handling:
- Rate limits

- Data normalization

- API failures

- Caching strategies

- Experience developing real-time applications using:
- WebSockets

- Socket.io

- Event-driven architectures

- Familiarity with cloud deployment environments such as:
- AWS

- Render

- Fly.io

- Vercel

- Container-based hosting environments

- Experience with caching and queue systems such as:
- Redis

- BullMQ

- Strong understanding of software engineering best practices, including:
- Clean code principles

- Version control (Git)

- Testing methodologies

- Code reviews

- Secure development practices

Preferred Qualifications

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Previous experience working on Web3, blockchain, cryptocurrency, DeFi, or financial analytics platforms .

- Experience integrating blockchain-related APIs or data providers such as:
- DEX analytics APIs

- Token security APIs

- Blockchain explorers

- Wallet analytics providers

- Familiarity with:
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Ethereum Virtual Machine (EVM) ecosystems

- Solana ecosystem

- Smart contract concepts

- Token mechanics

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Liquidity pools and decentralized exchanges (DEXs)

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Experience building data-heavy dashboards, analytics platforms, trading tools, or monitoring systems.

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Experience implementing risk scoring, fraud detection, security analysis, or financial data models.

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Understanding of high-availability systems where data accuracy and reliability are critical.

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Ability to work independently, make technical decisions, and collaborate directly with founders and senior engineers.

Originally posted on Himalayas