Job Description

About Us

Quorso is one of the fastest-growing tech companies in EMEA, recently recognised in the Deloitte Fast 50 Our Intelligent Management Platform simplifies complex operational data into daily “Next Best Actions” (“Missions”) that help teams across every site focus, act, and continuously improve performance.

We’re currently focused on the retail sector and already work with some of the world’s largest retailers — but our platform is sector-agnostic by design. Quorso helps any multi-site enterprise become more agile, efficient, and data-driven from the ground up.

We’re backed by one of the world’s largest investors, alongside CEOs and Chairpersons from some of the 100 biggest companies globally. With offices around the world and a rapidly expanding team, we’re scaling quickly — and design is at the heart of our product. From simplifying workflows to creating intuitive, actionable insights, great design is essential to delivering on our mission.

Our latest Quarterly Release highlights how field and store teams take action — showing just how fast we’re moving and how ambitious we are.

The Role

As a Full stack engineer you will focus on bringing new functionality to the Quorso platform by:

• Participating in business problems 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

Requirements

• Experience in proactive business problem solving, scope and detailed technical implementation planning, providing feedback for visual designs
• Experience of 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
• Understanding Kubernetes, Helm charts, Azure and AWS cloud services and experience in working with monitoring tools (NewRelic, Datadog, Elastic) is a plus.

Sound good?

Let’s talk. Even if you’re not sure you tick every box — we’d still love to hear from you. You never know, it might be a great fit.