12 дней назад
Backend Team Lead - Scanner (Node.js)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Team Lead - Scanner (Node.js) (Cybersecurity/AI): Leading the development of scalable, cloud-based security products with an accent on technical execution, architecture, and AI-first engineering practices. Focus on designing reliable systems with Node.js, AWS, and MongoDB, coordinating cross-functional delivery, and mentoring engineers while engaging with customers.
Location: Armenia
Company
develops cybersecurity products that protect the AI-driven software development lifecycle from code generation through cloud runtime.
What you will do
- Lead execution across multiple workstreams and own sprint planning and delivery quality.
- Coordinate with Engineering, Product, Customer Success, and customers to remove blockers and manage dependencies.
- Design scalable, reliable backend features and contribute hands-on to cloud-based development and code reviews.
- Shape product features from initial concept through production and lead technical decisions for enhancements.
- Coach and mentor engineers, improve team velocity, and identify capability gaps.
- Integrate AI-assisted coding, automated testing, and prompt-driven prototyping into the development lifecycle.
Requirements
- 6+ years of hands-on software development experience, including 3–5 years in a leadership role.
- Deep Node.js expertise and hands-on experience with AWS.
- Experience designing scalable, reliable systems and delivering end-to-end features.
- Strong interpersonal and communication skills for leading a global team and explaining technical decisions to non-technical stakeholders.
- Early adoption of AI technologies and a strong interest in improving developer experience and system performance.
Nice to have
- Experience with React.
- Experience with Python.
Culture & Benefits
- Hands-on technical leadership with ownership across design, execution, and production delivery.
- Cross-functional collaboration with Product, Customer Success, and customers.
- AI-first engineering practices focused on efficiency, quality, and system stability.
- B2B contract arrangement.
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