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6 дней назад

Senior Full Stack Engineer (AI Cybersecurity)

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

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TL;DR
Senior Full Stack Engineer (AI Cybersecurity): Building and scaling an AI-powered cybersecurity platform across backend services, APIs, data pipelines, distributed systems, and frontend experiences with an accent on Go, GraphQL, scalability, and secure architecture. Focus on designing real-time systems, integrating AI and security capabilities into production, and owning features from technical design through deployment and monitoring.

Location: Not specified for this role; Novee has offices in Tel Aviv, the US, and the UK.

Company

hirify.global develops an AI-powered penetration testing platform that continuously identifies and validates exploitable cybersecurity risks for global enterprises.

What you will do

  • Design and implement backend services powering the AI-driven cybersecurity platform.
  • Develop full-stack features across backend services, APIs, and user-facing interfaces, with primary ownership of backend architecture.
  • Build secure, robust, scalable APIs connecting frontend applications, data pipelines, and external systems.
  • Architect distributed systems for large-scale, real-time data processing and optimize performance and resource utilization across backend, AI, and security workloads.
  • Own features from technical design through deployment, monitoring, and continuous improvement.
  • Collaborate with AI researchers, engineering, infrastructure, product, and design teams while helping define engineering practices and system architecture.

Requirements

  • 5+ years of software engineering experience, with a strong backend foundation and hands-on frontend application development.
  • Proven ability to deliver full-stack features from backend services and APIs through user-facing interfaces.
  • Strong proficiency in Go, with hands-on experience designing GraphQL APIs and distributed systems.
  • Experience with modern frontend frameworks and integrating frontend applications with backend APIs.
  • Deep understanding of system scalability and performance, including latency, throughput, and reliability trade-offs.
  • Strong experience with Docker, Kubernetes, and microservice orchestration.
  • Familiarity with AWS or GCP, modern CI/CD, and infrastructure-as-code practices.
  • Background in cybersecurity, including secure systems, internal tools, or developer workflows.
  • Proven experience in early-stage environments, taking systems and features from concept to production.
  • Ability to work independently and collaborate across engineering, research, product, and design.

Nice to have

  • Experience with DevOps infrastructure, observability, and deployment automation.
  • Experience building interfaces that make complex technical data easy to understand and act on.
  • Experience integrating AI capabilities into production applications.

Culture & Benefits

  • Opportunity to shape the architecture and product experience of an AI-powered cybersecurity platform.
  • Significant ownership across the stack, with a strong focus on backend engineering.
  • Collaborative, curious, and fast-paced working environment.
  • Professional growth and leadership opportunities as the company scales.
  • Competitive compensation and the opportunity to contribute at an early stage of company growth.

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