Назад
Company hidden
4 часа назад

Senior Backend Engineer (AI)

94 000 - 120 000GBP
Формат работы
hybrid
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
Senior Backend Engineer (AI): Building and evolving backend processing systems, APIs, and multithreaded services powering a SaaS security platform with an accent on performance, resilience, scalability, and AI-ready infrastructure. Focus on designing distributed backend systems, integrating AI/ML capabilities, and ensuring data quality, observability, reliability, security, and performance.

Location: Hybrid role based in the UK, with supported remote working and offices in Cheltenham and Manchester

Salary: £94,000–£120,000 GBP per year, plus equity awards

Company

hirify.global provides a SaaS security platform that protects enterprise applications, detects SaaS integration risks, and helps prevent breaches.

What you will do

  • Build backend processing systems powering the core SaaS security product.
  • Maintain and evolve existing systems for performance, resilience, and scalability.
  • Design and implement APIs, backend services, and multithreaded applications.
  • Collaborate with product and engineering teams to deliver high-impact features.
  • Apply software engineering practices to requirements gathering, system design, and code reviews.
  • Build AI-ready systems and use AI-powered development tools to improve engineering efficiency.

Requirements

  • 5–7 years of experience in software engineering.
  • Proficiency in Python, Go, or SQL.
  • Experience building backend services, APIs, and multithreaded applications.
  • Experience with Docker, Kubernetes, relational databases such as Postgres, and Git.
  • Experience with AWS or GCP, S3, Kafka, Redis, or similar cloud and event systems.
  • Understanding of AI/ML concepts including LLMs, embeddings, vector databases, inference, evaluation, and AI/ML API integration.

Nice to have

  • Experience with Grafana, Prometheus, or similar observability tools.
  • Understanding of quality engineering practices across development and testing lifecycles.
  • Experience with large-scale distributed systems and performance optimization.

Culture & Benefits

  • Collaborative, supportive, and fast-moving engineering environment.
  • Opportunities to learn new technologies and engineering practices.
  • Flexible paid time off and paid holidays.
  • New parent or family leave of up to 12 weeks.
  • Professional development resources and competitive benefits, including equity and retirement benefits where applicable.

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 →