Full Stack Software Engineer

At PicScout, our passion for organizing visual data drives our technological innovation and excellence, and we use the best practices of Clean Architecture, Clean Code, Quality and Continuous Delivery to do this.

PicScout R&D team employs the best tools and strategies to develop highly distributed and scalable image intelligence systems in order to provide our customers with meaningful visual-content-based insights and help them make more informed decisions. Leveraging our image recognition technology and deep learning capabilities, we empower our users by tracking online image usage, trend analysis, metadata enrichment, and opening up new business horizons.

Our R&D team builds the most advanced Visual Search Engine, capable of billions of visual searches, that powers PicScout discovery and analytics tools. PicScout discovery and analytics tools crunch, in their turn, huge amounts of data and enable tracking and analysis of images’ behavior across the web.

As part of the team you will also work on our next generation products.

Your next challenge:

  • Developing end-to-end solutions (from client to server side & mobile).
  • Mastering several technologies: C#, Java, Python, C++ & iOS, Web (HTML5/CSS3, ASP.NET MVC, JavaScript); Server (WCF, Web-Services, Win-Services); No-Sql (Redis, Mongo, Memcache), SQL, BigData and more…
  • Challenging yourself with scaling & distribution architectural problems.
  • Working at the top of coding-standards, continuous-integration and continuous delivery methodologies.
  • A linchpin in architecture, design and implementation.


What You’ll Need:

  • 3+ years of experience with C# or Java or Python or C++.
  • BA/BSc in Computer Science.

Experience with:

  • Scalability, performance, load, high availability.
  • Following clean code principles and practices.
  • Attention to quality.
  • Organized, detail-oriented.
  • Ability to learn & work both independently and in team-work.
  • Self-motivated, hard worker.
  • Good English.

Non-mandatory qualifications (advantage):

  • Algorithmic experience (Computer Vision, Machine Learning, Data Mining, NLP, Text classifications– big advantage).
  • NoSQL DB such as Redis, Mongo.

 



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