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Роль предлагает отличную возможность для руководства в хорошо финансируемой компании по производству кибербезопасности с современным стеком технологий и высоким потенциалом роста, но отсутствует прозрачность по зарплате.
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Нет информации о зарплатеСильная поддержка компанииСовременный стек технологийВозможности ростаКультура высокой интенсивности
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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