Job Categories: technology
Job Types: Full Time
Experience: 4yrs
Required Skills: asynchronous programming AWS DevOps CSS3 frameworks front-end technologies HTML5 JavaScript MongoDB Node JS security compliance server-side CSS preprocessors server-side templating languages

Position: Full Stack Developer
Reports to: CTO, Dresma

Job Description Full Stack Developer

Role:

We are looking for a Full Stack developer with a minimum of 4 years of work experience who will be responsible for delivering Web Application on client enterprise architecture. Your primary focus will be the delivery and development of all UI screens, server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.

Required Skills:

  • Strong proficiency with JavaScript 
  • Knowledge of Node.js, MongoDB and frameworks available for it
  • Experience with AWS DevOps
  • Understanding the nature of asynchronous programming and its quirks and workarounds
  • Good understanding of server-side templating languages 
  • Good understanding of server-side CSS preprocessors 
  • Basic understanding of front-end technologies, such as HTML5, and CSS3
  • Understanding accessibility and security compliance 
  • User authentication and authorization between multiple systems, servers, and environments
  • Integration of multiple data sources and databases into one system
  • Understanding fundamental design principles behind a scalable application
  • Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
  • Creating database schemas that represent and support business processes
  • Implementing automated testing platforms and unit tests
  • Proficient understanding of code versioning tools, such as Git

Why Us:

Dresma has been providing visual enhancements to imagery for its customers all over the globe. We are excited to now be working on our cutting-edge workflow management system which will empower us to service our customers more efficiently through tools developed with Machine Learning. We envision offering solutions to simplify and scale image/video post-production operations and look forward to being a part of the fast-growing, AI-driven processing of a large volume of visuals.

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