Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная ответственность на уровне Staff, современный backend- и AI-стек и заметное влияние на технические решения. При этом зарплата не указана, а у стартапа больше неопределённости, чем у зрелой продуктовой компании.
Современный стек
Влияние на архитектуру
Растущий AI-сектор
?Риски стартапа
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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.
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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