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14 часов назад

Forward Deployed Engineer — Platform (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineer — Platform (AI) (Go/React/Kafka/Kubernetes): Building production-grade workflows, integrations, event-driven patterns, data pipelines, and developer tooling on the IFS Cloud platform with an accent on AI-native enterprise software and platform adoption. Focus on diagnosing platform friction, designing distributed systems, and shipping scalable tooling and reference implementations for product teams and customers.

Location: Staines-upon-Thames, England, United Kingdom; hybrid work opportunities are available.

Company

hirify.global develops AI-native, cloud-based enterprise software for asset management, operations, and critical services.

What you will do

  • Embed with product teams and customer engineering organisations to improve developer velocity and reduce go-to-market timelines.
  • Lead technical discovery, identify root bottlenecks, and translate ambiguous problems into scoped solutions.
  • Design and build production-grade workflows, integrations, event-driven patterns, and data pipelines on the hirify.global Cloud platform.
  • Diagnose platform friction and implement tooling, patterns, and reusable reference implementations for Kairos and Nexus.
  • Help shape the Internal Developer Platform and translate product-team pain points into roadmap input.
  • Work with customer architects, IT leads, business stakeholders, and the NGA architecture team while communicating technical trade-offs clearly.

Requirements

  • 5+ years of software development experience with strong hands-on capability across the stack.
  • Backend experience with Go and frontend experience with React and Next.js.
  • Experience with Apache Kafka or RedPanda, PostgreSQL, Kubernetes, containers, GitOps, and infrastructure as code.
  • Strong understanding of event-driven and distributed-systems architecture and experience owning production systems.
  • Experience working with platform or infrastructure teams and performing customer-facing technical work.
  • Ability to operate in ambiguity, debug real-world production issues, and communicate with non-technical stakeholders.

Culture & Benefits

  • Hybrid work opportunities supporting different working styles and lifestyles.
  • Inclusive, international environment with colleagues and customers across the globe.
  • Focus on collaboration, trust, sustainability, and meaningful impact.
  • Opportunity to work on AI-native enterprise software and production AI systems.

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