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13 часов назад

Engineering Manager (AI/Cybersecurity)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Manager (AI/Cybersecurity): Leading engineering teams building scalable platforms and product features that predict, quantify, and prevent cyber breaches with an accent on distributed systems, cloud infrastructure, and AI-native engineering. Focus on applying LLMs, RAG, agents, observability, and production reliability practices while balancing technical strategy, delivery, architecture, and people leadership.

Location: On-site in Bengaluru or New Delhi, India

Company

hirify.global is a Series C-funded cybersecurity product company using an AI-driven engine to provide enterprises with quantified, real-time visibility into security posture and cyber risk.

What you will do

  • Lead, mentor, and coach a team of engineers while promoting ownership, collaboration, continuous learning, and engineering excellence.
  • Define and execute the team’s technical strategy and roadmap in alignment with product priorities, customer commitments, and business goals.
  • Design and build product capabilities for predicting, quantifying, and preventing cyber breaches.
  • Guide architecture across APIs, microservices, event-driven systems, cloud infrastructure, data stores, and AI-enabled capabilities.
  • Drive delivery ownership, code quality, testing, observability, security, performance, and cost optimization.
  • Own production quality through incident management, root-cause analysis, SLOs, performance tracking, and reliability improvements.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • At least 8 years of software engineering experience, including at least 2 years in an engineering management role.
  • Hands-on experience with server-side technologies such as Node, TypeScript, Python, Go, or similar technologies.
  • Knowledge of React, Angular, Vue, SQL and NoSQL databases, cloud-native distributed systems, and production engineering.
  • Practical experience with AI-assisted coding tools and LLM concepts including prompt engineering, RAG, agents, vector databases, model evaluation, hallucination mitigation, and LLM observability.
  • Experience managing and coaching teams of 4–8 engineers, delivering scalable and reliable platforms, and balancing people leadership with technical depth.

Nice to have

  • Experience in cybersecurity, enterprise SaaS, risk management, CTEM, TPRM, CRQ, compliance, or related domains.

Culture & Benefits

  • High-intensity, mission-driven environment focused on category creation and technical excellence.
  • Ownership-oriented culture with direct feedback and data-driven engineering practices.
  • Meaningful equity participation for employees.
  • Unlimited leave and comprehensive medical and wellness benefits.
  • Growth opportunities in a rapidly expanding, well-funded company.

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