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3 дня назад

Staff Engineer (Backend/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

Текст:
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TL;DR
Staff Backend Engineer (Go/AI): Building and evolving scalable backend services and platform architecture for AI-driven due diligence, with an accent on Go microservices, distributed systems, workflow orchestration, and technical leadership. Focus on designing complex systems, solving systemic reliability and performance challenges, establishing cross-team engineering standards, and integrating LLM-powered investigations.

Location: London, United Kingdom; hybrid workplace

Company

hirify.global is an AI-driven due diligence and risk intelligence company helping organisations turn manual research into trusted insights.

What you will do

  • Own the technical direction and architecture of major platform domains.
  • Design and build complex, scalable backend services and systems using Go microservices.
  • Lead technical initiatives from design through implementation and drive decisions affecting multiple teams.
  • Establish engineering patterns, standards, and best practices across the organisation.
  • Address systemic backend challenges involving distributed systems, event-driven architectures, APIs, and observability.
  • Mentor engineers, collaborate with engineering leadership, and improve platform reliability, performance, and scalability.

Requirements

  • 10+ years of professional software engineering experience.
  • Deep expertise in Go, including concurrency, performance optimisation, and advanced patterns.
  • Proven experience designing and owning large-scale systems, distributed systems, event-driven architectures, or similarly complex systems.
  • Deep understanding of databases, particularly MongoDB or similar NoSQL systems, plus extensive microservices and inter-service communication experience.
  • Expert-level Docker and Kubernetes knowledge.
  • Experience establishing technical standards and patterns across teams and influencing technical direction at organisational level.
  • Strong architectural thinking, pragmatic trade-off evaluation, and the ability to drive initiatives with minimal guidance.
  • Track record of mentoring and developing engineers, with excellent communication skills for explaining complex technical concepts.

Nice to have

  • Experience with Temporal or similar workflow orchestration systems at scale.
  • Deep knowledge of event streaming platforms such as Kafka.
  • Experience with LLMs, AI integration, and RAG systems, particularly for investigations.
  • Experience with SaaS platforms or B2B products at scale.
  • Expertise in Grafana, Prometheus, or similar observability tools.
  • Understanding of authorisation, security, multi-tenancy, protobuf, and gRPC.

Culture & Benefits

  • Employee shares and equity programme with meaningful ownership in the business.
  • Private health insurance and life insurance.
  • Unlimited holidays.
  • £1,000 annual professional development fund.
  • Support for career development, learning, and challenging technical work.

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