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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
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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