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Aries Global

Technology firms powered by AI OS

Software Engineer

Backend Engineering +1Confirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Experience building and shipping real systems, including data modeling, API design, system trade-offs, testing, and reliability.
  • Strength in at least one modern technology stack; full-stack ability is a plus.
  • Ability to form mental models quickly, break down ambiguous problems, prioritize high-leverage work, and explain reasoning clearly.
  • Ownership of outcomes and ability to act independently in ambiguous situations.
  • Active exploration of large language model workflows, artificial intelligence tooling, automation, or developer productivity improvements.

Responsibilities

  • Build and improve production software systems and core product features.
  • Take end-to-end ownership of features, from architecture design through measurable impact.
  • Design clean abstractions in ambiguous environments and evolve systems into scalable AI-native platforms.
  • Make trade-offs between development velocity and system durability.
  • For backend-leaning work, use Ruby, Python, and TypeScript to design and build APIs, data models, and scalable integrations.
  • For frontend-leaning work, use React and TypeScript to build user experiences that handle real-time data.
  • Collaborate with product and commercial teams to shape what gets built.

Desired Qualifications

  • Full-stack ability.

About the Company

Aries Global

Technology firms powered by AI OS

Aries Global is a group of technology companies that run on a single unified AI Operating System. Its work centers on coordinating and powering its diverse tech offerings through one shared AI platform. The system manages and orchestrates AI models, data, and workflows across its constituent companies, enabling consistent tools and services from London with hubs in New York and Berlin. This setup distinguishes Aries Global from competitors by providing a common AI backbone across multiple businesses, rather than separate, isolated systems. The goal is to deliver reliable, scalable AI-powered technology capabilities across its portfolio to support critical operations for clients and internal teams alike.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2024

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