Full Stack Engineer

Job not on LinkedIn

🕒 April 1

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Quorso

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛒 Retail

🤝 B2B

☁️ SaaS

💰 $5.2M Series A on 2019-12

Retail • B2B • SaaS

Quorso is a retail transformation company that empowers store and district managers with data-driven solutions. It offers a single app that turns data into prioritized daily missions, helping managers take effective action through best-in-class analytics and intuitive workflows. Quorso facilitates real-time event-driven missions and orchestrations by integrating with multiple systems, enhancing productivity and simplifying store operations. The company is trusted by leading retailers, such as Walmart México y Centroamérica, to drive performance improvements and create a truly connected enterprise.

📋 Description

• 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.

🏖️ Benefits

• Flexible working arrangements