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Senior Full-Stack Engineer

Industry: FinTech
Remote
Company size: 1-10
Full-time/Part-time

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Job description

A rapidly-growing company that is building a financial exchange and Alternative Trading System (ATS) on blockchain to trade real assets, is looking for a Senior Full-Stack Engineer. The engineer will be in charge of writing code that is clear, effective, reusable, and tested. The company’s solution combines the best of the Web2 and Web3 worlds so that everyone can trade in a setting they are familiar with. This is a nice opportunity for developers who are eager to work with a team of industry veterans to build an innovative product. 

 

Job Responsibilities:

  • Write code that is clear, effective, reusable, and tested
  • Comprehend production environments and all that they require (error handling, logging, metrics, etc)
  • Debug and document software according to the company’s systems, policies, and procedures
  • Collaborate with the product team to develop, design, and run the products and platforms 

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a full-stack engineer
  • Prolific experience with React, Node.js, and Python
  • In-depth understanding of single-page applications and reactive notions
  • Ability to create and deploy user interface elements that are extremely responsive, with minimal latency when executing actions
  • The capacity to create and implement front-end/back-end API specifications
  • Expertise in HTML, CSS, JavaScript, and front-end languages
  • Ability for reproducing designs beyond bootstrap components, allowing you to build the appearance and feel based on the mocks
  • Write scalable code that is maintainable by others' knowledge of microservice-based architectures and design patterns
  • The capacity to accelerate database queries and server response times; low latency response times are desired
  • Knowledge of the tech stacks, libraries, and JavaScript
  • Comprehensive understanding of data processing, modeling, and storage
  • Knowledge of design patterns, microservice-based architectures, and serverless platforms
  • Ability to provide results and balance solutions' impact on the end product with other factors 
  • Thorough familiarity with Python's libraries and frameworks
  • Knowledge in creating data pipelines to obtain the data required to create and extract value from at least one deep learning framework under your belt
  • Fluent in spoken and written English communication

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