Jobs · Supply Chain

FULL STACK ENGINEER

RemoteHunter · United States · 3 wk ago
RemoteRemoteSupply ChainFull-time

About the role

The organization operates in the technology sector, focusing on developing software solutions that integrate AI, data analytics, and spatiotemporal big data. Their projects span industries such as marine transportation, cybersecurity, and climate/environmental informatics, addressing complex challenges through advanced technological applications.

The Full Stack software engineer role involves maintaining and enhancing existing full-stack applications and contributing to the development of new applications integrating AI and big data analytics. This position is designed to leverage the engineer's creativity, technical skills, and knowledge of machine learning and DevOps to support diverse projects that have real-world impact.

Responsibilities

  • Maintain and improve full-stack applications including backend, frontend, DevOps, and data layers.
  • Collaborate on architecting and deploying new full-stack applications integrating AI and big data.
  • Develop applications using web frameworks like Django and React.
  • Enhance Continuous Integration and Continuous Development pipelines.
  • Manage and develop cloud-based applications on platforms such as AWS and DigitalOcean.
  • Develop and maintain complex data-driven APIs using GraphQL and Swagger.
  • Code full-stack applications for government and industry contracts and commercialization efforts.

Requirements

  • Minimum 2 years experience programming in Python.
  • 2-4 years experience with Python-based web frameworks such as Django or Flask.
  • Experience with front-end technologies including React, JavaScript, Typescript, CSS, Bootstrap, Tailwind, and Django.
  • Proficiency with databases such as PostgreSQL, MySQL, and NoSQL stores like Redis or MongoDB.
  • Basic experience with containerization tools like Docker and Kubernetes.
  • Basic knowledge of automation tools and CI/CD pipelines.
  • Additional experience with AI and machine learning frameworks such as TensorFlow, PyTorch, and Keras is a plus.

Benefits

  • Flexible work from home options available.

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