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обновлено 13 дней 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

Текст:
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TL;DR
Engineering Manager (AI/Cybersecurity): Leading engineering teams building scalable capabilities for predicting, quantifying, and preventing cyber breaches with an accent on AI-native development, distributed systems, and production reliability. Focus on applying LLMs, RAG, agents, and AI-assisted coding while guiding architecture, delivery, observability, and technical growth.

Location: Bengaluru, India; on-site

Company

hirify.global is a Series C-funded cybersecurity company providing an AI-driven platform for quantified, real-time enterprise security risk visibility.

What you will do

  • Lead, mentor, and coach a team of 4–8 engineers while maintaining technical excellence and ownership.
  • Define and execute the team’s technical strategy and roadmap in alignment with product and business objectives.
  • 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 features.
  • Drive AI-assisted engineering using tools such as Cursor, GitHub Copilot, ChatGPT, and Claude.
  • Own delivery and production quality through code reviews, observability, incident management, RCA, 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 2 or more years in engineering management.
  • Hands-on experience with server-side technologies such as Node.js, TypeScript, Python, Go, or similar technologies.
  • Experience with web development, SQL and NoSQL databases, cloud-native distributed systems, and production observability.
  • Practical knowledge of LLMs, prompt engineering, RAG, agents, vector databases, model evaluation, hallucination mitigation, and LLM workflows.
  • Strong leadership, communication, mentoring, delivery, architectural, and hands-on technical skills.

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 ownership, rigor, direct feedback, and engineering excellence.
  • Meaningful equity for employees.
  • Unlimited leave.
  • Medical insurance and wellness benefits.
  • Career advancement opportunities in a rapidly growing company.

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