6 часов назад
Engineering Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Leading engineering teams building scalable applications, infrastructure, and detection features for enterprise security products with an accent on fraud mitigation, distributed systems, and machine learning capabilities. Focus on designing high-throughput services, mentoring engineers, and developing monitoring and security solutions serving hundreds of millions of users.
Location: Remote from Poland, Canada, Argentina, Brazil, Mexico, or Austria
Company
builds enterprise security products using AI and machine learning, including the hCaptcha security suite, at a scale serving hundreds of millions of users.
What you will do
- Lead, grow, and support a team of experienced engineers building applications, tools, and infrastructure for security products.
- Collaborate with engineers, scientists, stakeholders, and domain experts on fraud and automation detection and mitigation solutions.
- Mentor engineers and guide technical decision-making, skill development, and knowledge sharing.
- Participate in code and architecture design, feature development, peer reviews, and quality improvement.
- Design scalable solutions and monitoring tools for systems handling very high request volumes.
Requirements
- 8+ years of professional software engineering experience.
- 2+ years of leading or managing engineering teams.
- Extensive experience with TypeScript or Python; familiarity with Rust, Go, or C++.
- Understanding of distributed systems and large-scale operations, ideally involving applications handling millions of requests per second.
- Familiarity with Kubernetes and Docker.
- Demonstrated ability to build high-performing, highly engaged engineering teams, preferably in geographically distributed organizations.
Nice to have
- Experience with edge workers such as Cloudflare Workers, Fastly Edge Compute, or Akamai Serverless Compute.
- Production experience with Rust or Go.
Culture & Benefits
- Fully remote work with flexible working hours.
- Distributed international team and flat organizational structure.
- Direct interaction with customer teams and strong product influence.
- Continuous development and deployment workflows focused on shipping frequently.
- Opportunity to work on cybersecurity, user privacy, and machine learning products at significant scale.
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