Назад
Company hidden
4 часа назад

Backend Software Engineer (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
Backend Software Engineer (AI): Building scalable, secure, and resilient backend services and APIs for the DDN Infinia AI Data Platform with an accent on distributed systems, hybrid infrastructure, and control-plane orchestration. Focus on designing microservices with strong consistency, fault tolerance, observability, security, and reliable operation at petabyte scale.

Location: United Kingdom; on-site

Company

hirify.global develops the Infinia AI Data Platform for large-scale hybrid on-premises and cloud environments.

What you will do

  • Design and build scalable, high-performance distributed backend services for the platform control plane.
  • Develop versioned REST and/or gRPC APIs for centralized management, automation, policy enforcement, and external integrations.
  • Implement microservices supporting provisioning, scaling, upgrades, configuration, and full lifecycle management across on-premises and cloud environments.
  • Build policy-driven orchestration, Infrastructure-as-Code integrations, RBAC, multi-tenancy, and enterprise self-service capabilities.
  • Implement observability through logs, metrics, traces, events, alerting, diagnostics, and incident correlation.
  • Design secure, fault-tolerant systems with disaster recovery and seamless upgrades or rollbacks.

Requirements

  • 5+ years of experience in backend or distributed systems engineering.
  • Strong experience designing and building microservices-based architectures and large-scale distributed systems.
  • Proficiency in at least one modern backend language, such as Go, C++, Java, or Python.
  • Experience designing and implementing REST and/or gRPC APIs.
  • Deep understanding of distributed systems, including consistency, availability, and partition tolerance.
  • Experience with cloud-native and containerized environments, Kubernetes, CI/CD pipelines, automated testing, and security principles.

Culture & Benefits

  • Hands-on technical leadership with influence across engineering teams.
  • Focus on code reviews, design reviews, engineering best practices, and API quality.
  • Work on mission-critical AI and data workloads operating at petabyte scale.
  • Emphasis on reliability, performance, security, compliance, and operational supportability.

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 →