Назад
Company hidden
1 час назад

Member of Technical Staff - Backend (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Member of Technical Staff - Backend (AI) (Python/FastAPI): Building and scaling backend services, APIs, and data pipelines for an enterprise AI workflow platform serving financial institutions with an accent on distributed systems, database performance, security, and compliance. Focus on productionizing machine learning models, optimizing high-throughput systems, and designing reliable infrastructure for sensitive financial data.

Location: London, United Kingdom; on-site

Company

hirify.global is an enterprise AI workflow platform that automates the production and validation of client-ready work for financial institutions.

What you will do

  • Design, develop, and maintain scalable backend services and APIs for the AI workspace platform.
  • Build and optimize data pipelines for large-scale financial datasets.
  • Productionize machine learning models and integrate them into backend systems.
  • Optimize database schemas and queries for high-throughput, low-latency distributed systems.
  • Implement security controls and support compliance with SOC 2, GDPR, and FCA requirements.
  • Lead technical design reviews, mentor engineers, monitor production systems, and improve reliability.

Requirements

  • 7+ years of professional backend engineering experience building and scaling production systems.
  • Expert proficiency in Python and modern web frameworks, especially FastAPI, Flask, or Django.
  • Deep knowledge of PostgreSQL, database scaling, query optimization, indexing, and performance tuning.
  • Experience with Redis, Celery or equivalent task queues, message brokers, event-driven architectures, REST APIs, and microservices.
  • Experience with Azure, AWS, or GCP and Docker and Kubernetes.
  • Knowledge of security, authentication, authorization, encryption, CI/CD, automated testing, Git, and distributed-system debugging; a Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Culture & Benefits

  • Performance-based incentives and equity.
  • Opportunity to contribute to the company's expansion in the financial technology market.
  • Supportive and innovative engineering environment.
  • Fast-changing priorities and challenging technical work at the intersection of AI and finance.

Hiring process

  • 30-minute introductory call with Talent Acquisition.
  • 30-minute technical screen followed by a 20-minute systems design deep-dive.
  • On-site interview with Engineering Leadership.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →