Middle Full-Stack Developer | Quorso

2 Months ago • 4 Years + • Full Stack Development

Job Summary

Job Description

Quorso seeks a Middle Full-Stack Developer to build data transformation pipelines and enhance their core application. Responsibilities include developing APIs, user interfaces, and core insights infrastructure. The role involves participating in business problem-solving, contributing to technical designs, providing feedback on visual designs, and implementing features end-to-end using Ruby on Rails, React, and Redux. The platform may evolve into a task management system, expanding operational capabilities within the application. A 50/50 split between backend and frontend development is expected.
Must have:
  • 4+ years full-stack experience (Ruby on Rails, React/Redux)
  • Proactive problem-solving & implementation planning
  • Excellent debugging skills (Ruby & JS)
  • Experience with raw SQL & large datasets
  • Git proficiency (branching, rebasing, etc.)
  • Linux navigation & regular expressions
Good to have:
  • Kubernetes, Helm, Azure, AWS
  • Monitoring tools (NewRelic, Datadog, Elastic)
  • Big Data or ETL pipeline experience

Job Details

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of Quorso, GT is looking for a Full-Stack Engineer interested in building different data transformation pipelines as well as participating in growing the functionality of the core app which includes building APIs, user interfaces, and core insights infrastructure.

About the Client


Founded in 2016, and headquartered in London, Quorso is one of Retail’s most exciting SaaS startups. Its Agile Stores technology simplifies retailers’ data into daily Next Best Actions (“Missions”) for every store, guaranteed to engage teams and drive sales.

Quorso is the modern way to run data-guided operations. AI turns terabytes of retail data into personalized priorities for each field and store leader. Smart workflows guide effective action and business impact is measured to embed learnings across the organization. Many of the world’s leading retailers are using Quorso to improve the productivity of their store operations. $100bn of activity is managed through Quorso across +25,000 stores and +90 use cases.

About the Role

You’ll be joining a competent team of engineers and bringing new functionality to the Quorso platform. There’s a potential for the platform to serve as a task management system, enabling managers and users to perform more operations directly within the system.

Responsibilities:

  • Participating in business problem-solving by shaping up necessary user flows

  • Contributing to technical designs as part of working on the scope

  • Providing feedback during visual design review sessions

  • Working on detailed technical implementation planning

  • Building scoped functionality end to end, both backend and SPA frontend using Ruby on Rails, React, and Redux frameworks (50/50 backend to frontend)

Essential knowledge, skills & experience:

  • Experience in proactive business problem solving, scope, and detailed technical implementation planning, providing feedback for visual designs

  • Experience working as a full stack engineer for at least 4 years using Ruby on Rails on the backend and React / Redux on the frontend for SPA architecture

  • Excellent debugging skills, going beyond "print debugging" for both Ruby and JS stacks

  • Experience with raw SQL, slow query investigation on large data sets

  • Git and Git flow approach, solid experience and understanding of main commands - branching, stashing, rebasing, fast forwarding, pushing changes

  • Good understanding of Linux and where to look for certain things, navigational and search commands, regular expressions

  • Solid practical usage of text editors and supportive tools for efficient coding

Nice-to-Have:

  • Understanding Kubernetes, Helm charts, Azure, and AWS cloud services

  • Experience in working with monitoring tools (NewRelic, Datadog, Elastic)

  • Experience with Big Data or ETL pipelines

Interview Steps

  1. GT interview with Recruiter (45 minutes)

  2. Technical interview with test task (1 hour)

  3. Live coding interview (2 hours)

  4. Final interview with CTO (20 minutes)

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