Senior Backend Engineer: AI Workspace in Regulated Finance

Dex

Greater London

Vor Ort

GBP 120.000 - 180.000

Vollzeit

vor 20 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Dex is partnering with a company building an AI workspace for sensitive financial data, seeking a senior backend engineer to own core services end-to-end. You’ll join a lean, senior team reporting to founders, shaping architecture at scale in a regulated context (SOC 2, GDPR, FCA).

You’ll own data pipelines, APIs, and system design, collaborating with ML engineers to productionise models while advancing the platform’s security and reliability.

Qualifikationen

  • 7+ years of backend engineering experience.
  • Expert-level Python and FastAPI.
  • Deep expertise in PostgreSQL query optimisation and scaling.
  • Experience with event-driven architectures and message brokers (Celery, Kafka).
  • Strong fundamentals in distributed systems, cloud platforms (Azure preferred), Docker/Kubernetes, and security.

Aufgaben

  • Architect and build scalable backend services and APIs for an AI workspace handling sensitive financial data.
  • Design and implement high-performance data pipelines for large-scale financial datasets with strict latency and accuracy requirements.
  • optimise PostgreSQL schemas, queries, and indexing in a distributed environment.
  • Collaborate with ML engineers to productionise models within robust backend systems.
  • Lead technical design reviews, mentor engineers, and shape engineering culture as the platform scales.

Kenntnisse

Backend experience
Python
FastAPI
PostgreSQL
Docker
Kubernetes

Tools

Celery
Kafka
Azure

Jobbeschreibung

Dex is partnering with a company building an AI workspace for sensitive financial data, seeking a senior backend engineer to own core services end-to-end. You’ll join a lean, senior team reporting to founders, shaping architecture at scale in a regulated context (SOC 2, GDPR, FCA).

You’ll own data pipelines, APIs, and system design, collaborating with ML engineers to productionise models while advancing the platform’s security and reliability.

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