A

algo1

AI-powered automated multi-asset trading platform

Software Engineer - Platform

Full-Time
No salary listed
Mid, Senior
London, UK
In Person
DevOps & InfrastructurePlatform Engineering

About the job

Requirements
  • You've designed or meaningfully contributed to distributed backend systems and understand event-driven patterns, asynchronous messaging, and the trade-offs at scale.
  • You've designed APIs that other teams and clients depend on and understand the trade-offs between clean design, backwards compatibility, and speed.
  • You have practical experience with relational databases such as PostgreSQL, including schema design, indexing, migrations, and query optimisation, plus working knowledge of at least one non-relational store.
  • You have experience processing or analysing real-time data streams at scale.
  • You have experience deploying and operating distributed services on AWS, Google Cloud Platform, or Azure.
  • You have evidence of moving complex, customer-facing software into production quickly while making pragmatic decisions without letting perfection become a blocker.
  • You have shipped production code with frontier AI tools such as Cursor or Claude Code and use agentic workflows.
Responsibilities
  • Own authentication across algo1, retailer and brand employees, shoppers, devices, agents, and third-party services, alongside authorisation covering role-based access control and relationship-based access control.
  • Develop and maintain reliable, consistent automated release cycles that get changes to production safely and quickly.
  • Manage cloud environments supporting prototyping features across Android and web applications alongside changes to backend microservices.
  • Gatekeep the quality of APIs, webhooks, and event-driven architecture in an open contributor model.
  • Continually improve internal agentic harnesses, including skills, context, and tooling, so engineers and less technical colleagues can develop and prototype on the platform.
  • Add agentic automation to appropriate areas of the platform stack without compromising quality.
Desired Qualifications
  • Professional software engineering experience across the stack, with strongest work in platform engineering and a portfolio of production systems owned end-to-end.
  • Experience building for business-to-business or enterprise customers, where reliability, integrations, and data pipelines matter as much as the interface.
  • A product mindset and ownership of what the team puts in front of users, not only the code personally written.
  • Production experience with Docker and Kubernetes.
  • Familiarity with retail technology, commerce platforms, or customer personalisation systems.
  • Background working at an early-stage startup.

About the company

AlgosOne runs an AI-powered platform that automatically trades across cryptocurrencies, forex, stocks, commodities, bonds, and indices. It uses deep learning and natural language processing to analyze price feeds, news, and social sentiment, then executes trades and adjusts strategies in real time with no required technical skill from the user. Different from some rivals, it charges commissions only on profitable trades and offers built-in risk controls like trade caps, diversification, and a reserve fund, supported by an EU license via White Mint Financial Company s.r.o. to provide virtual asset and trading services. The goal is to give both beginners and experienced traders a hands-off, multi-asset investing experience with continuous learning from new data and past trades.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

2024

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Simplify's Take

What believers are saying

  • AlgosOne updated help docs in March 2026, showing active product iteration.
  • Google Play listing dated 17 June 2026 indicates continued consumer acquisition.
  • The platform targets beginners with a $300 minimum deposit and hands-off automation.

What critics are saying

  • CNB warned White Mint Financial Company on 26 January 2026 for unauthorized algosone.ai activity.
  • The Czech FAO banned virtual-asset services on 14 May 2025, still in effect.
  • AMF blacklisted algosone.ai on 20 March 2026; withdrawal locks can trigger collapse.

What makes algo1 unique

  • AlgosOne markets AI trading across forex, crypto, stocks, commodities, bonds, and indices.
  • Its 2026 product stack combines automated execution with 1-click approvals and a 14-day trial.
  • The company claims an EU financial-services license, reserve-fund protection, and 80%+ win rates.

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Benefits

  • Cycle to work scheme
  • Paid Vacation
  • Paid Holidays
  • Company Equity
  • Company Social Events