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обновлено 11 дней назад

Software Engineer (NodeJS, TypeScript)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Software Engineer (NodeJS, TypeScript) (Cloud SaaS/AI): Building secure, scalable microservices and APIs with Node.js, TypeScript, and AWS, with an accent on reliable production support, cloud-native delivery, and AI-assisted engineering. Focus on designing backend services, owning features through deployment, improving observability and security, and solving complex product problems at scale.

Location: London, England, United Kingdom; hybrid work with onsite attendance required at least 50% of the time for employees within commuting distance of a hirify.global office.

Company

hirify.global provides AI-powered governance, risk, and compliance SaaS solutions through the hirify.global One Platform.

What you will do

  • Design, build, test, and improve secure backend services and APIs using Node.js, TypeScript, and AWS.
  • Own features from planning through release, including code quality, deployment, and production support.
  • Collaborate with product managers, designers, and engineers to turn requirements into reliable product solutions.
  • Contribute to technical design discussions, code reviews, and engineering standards.
  • Use AI tools for research, coding, debugging, testing, and documentation while validating outputs for privacy, security, and quality.
  • Improve monitoring, observability, reliability, and maintainability of production systems.

Requirements

  • 3–5 years of professional software engineering experience building production applications in an agile environment.
  • Strong backend development skills with Node.js and TypeScript, including API or microservice development.
  • Experience with React or Angular in a product engineering environment.
  • Hands-on AWS experience and knowledge of cloud-native development, testing, and deployment practices.
  • Experience with SQL databases, Git, Docker-based workflows, and modern CI/CD pipelines.
  • Practical understanding of AI-assisted engineering tools, with sound judgment regarding privacy, security, and quality.

Nice to have

  • Familiarity with infrastructure as code, such as CDK or Terraform.
  • Exposure to observability tooling, incident response, or production monitoring.
  • Understanding of LLM concepts including tokens, embeddings, hallucinations, and safe software-delivery use cases.

Culture & Benefits

  • Flexible work environment with hybrid office hubs worldwide.
  • Comprehensive health benefits, generous time off, wellness programs, and global days of service.
  • Meeting-free days and support for collaboration, creativity, and continuous learning.
  • Inclusive workplace supported by employee resource groups and diversity initiatives.

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