13 часов назад
Engineering Manager (AI/Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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