R&D Team Lead (AI Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
R&D Team Lead (Fullstack): Leading the design and development of large-scale, data-oriented SaaS security applications with an accent on system architecture and technological innovation. Focus on managing full-stack engineers, driving the implementation of data-centric platforms, and ensuring scalability and reliability of the core security platform.
Location: Tel Aviv, Israel
Company
is a fast-growing startup providing innovative solutions to secure the organization-to-SaaS surface, focusing on SaaS and AI Security.
What you will do
- Lead and mentor a team of full-stack engineers through the design and delivery of complex projects.
- Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
- Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
- Conduct code reviews, enforce engineering best practices, and foster a high-quality engineering culture.
- Research and integrate new technologies to overcome technical challenges and improve productivity.
- Own the full project lifecycle from requirement gathering and design to production monitoring.
Requirements
- 7+ years of professional experience in Full Stack development.
- At least 3 years of experience as a Team Lead.
- Proven hands-on experience building and maintaining large-scale, data-oriented platforms.
- Strong understanding of cloud architecture and distributed systems (AWS preferred).
- Proficiency with Python, TypeScript, React, Kubernetes, Kafka, and Postgres.
- Experience developing CI/CD pipelines and production-grade microservices.
Nice to have
- Experience with NoSQL databases and data lake storage solutions.
- Experience working on SaaS-based security products.
- Experience with browser extensions or other endpoint clients.
Culture & Benefits
- Work in a fast-paced, dynamic startup environment.
- Opportunity to tackle complex technical challenges in the AI Security field.
- Exposure to newest technologies and high-impact architectural decisions.
- Engineering culture centered on mentorship, innovation, and strong execution.
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