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Intropic

Self-service data mesh for capital markets

Backend Engineer - Index Data Processing

Backend EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Strong communication skills with both technical and non-technical stakeholders.
  • Ability to learn independently and work in containerised backend engineering environments.
  • Strong experience with Python.
  • Experience with cloud-native system design and hosting.
  • Experience debugging through observability and monitoring tools such as Prometheus and Loki.

Responsibilities

  • Work with product managers, researchers, and other engineers to define cloud-native backend systems and project requirements.
  • Design, build, and maintain scalable backend services with a strong focus on cloud architecture.
  • Write clean, well-tested, and production-ready Python code, with opportunities to use Go or Rust where appropriate.
  • Deploy and operate production systems on Amazon Web Services with an emphasis on reliability, security, and performance.
  • Use Infrastructure as Code to provision and manage cloud resources.

Desired Qualifications

  • Experience or interest in Go and/or Rust.
  • Experience with graph databases or knowledge graphs, such as Neptune, Neo4j, or graph modelling on PostgreSQL.

About the Company

Intropic

Self-service data mesh for capital markets

Intropic builds a data refinery and infrastructure platform for capital markets. The core product is a self-service, decentralized data mesh that lets financial teams clean, connect, and model data from multiple sources without relying on centralized data engineering. It enables users to structure information, incorporate domain knowledge, and blend in proprietary data, with features like customizable dashboards and agent-based simulations that simulate data workflows as if the team had its own data engineers. Intropic serves hedge funds, asset managers, prop traders, banks, and sovereign wealth funds, and is known for its Index Rebalance Forecasts used to manage risk and large rebalance flows. The company monetizes by delivering its data products and infrastructure as a service. Its goal is to reduce data fragmentation and bottlenecks for financial institutions, enabling faster, more informed investment decisions by turning scattered data into a coherent, usable data fabric.

Company size
51-200
Company stage
Series A
Total funding
$24.6M
Headquarters
London, United Kingdom
Founded
2018

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