3 дня назад
Engineering Director, Infrastructure (AI)
244 000 - 313 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Director, Infrastructure (AI) (Cloud Infrastructure/DevOps/SRE): Leading the architecture and operation of cloud, production, CI/CD, and AI inference infrastructure for highly scalable meeting intelligence products with an accent on reliability, security, performance, and cost efficiency. Focus on designing fault-tolerant distributed systems, optimizing high-throughput AI inference, strengthening observability and incident response, and building a high-performing infrastructure engineering organization.
Location: Mountain View, California; hybrid
Salary: $244,000–$313,000 USD per year
Company
develops artificial intelligence products for meeting transcription, summarization, collaboration, and actionable conversation data.
What you will do
- Own the architecture and operation of cloud, compute, networking, databases, production systems, and AI inference infrastructure.
- Translate product and business plans into infrastructure roadmaps, capacity requirements, staffing plans, and investment decisions.
- Establish reliability, observability, security, compliance, incident management, disaster recovery, and business continuity practices.
- Improve developer velocity through automation, CI/CD, infrastructure-as-code, and self-service tooling.
- Partner with AI/ML, Product, Security, Engineering, and Finance on inference performance, infrastructure costs, capacity, and risk.
- Recruit, develop, and lead a high-performing infrastructure engineering organization as a technically hands-on leader.
Requirements
- 10+ years of software development or engineering experience, including 4+ years of engineering management experience.
- Significant experience leading infrastructure, DevOps, SRE, or platform teams operating production systems at scale.
- Experience designing and operating highly available, fault-tolerant distributed systems and multi-region architectures.
- Strong knowledge of AWS, Kubernetes/EKS, EC2, networking, storage, IAM, monitoring, Terraform, and cloud-native infrastructure.
- Deep experience with MySQL operations, asynchronous architectures, observability, incident response, disaster recovery, and zero-downtime migrations.
- Experience operating latency-sensitive, high-throughput AI inference workloads and scaling infrastructure for enterprise customers with demanding security and compliance requirements.
Nice to have
- GPU inference optimization experience.
- Familiarity with Python, Django, FastAPI, and WebSockets.
Culture & Benefits
- Hands-on, high-impact leadership scope with direct influence on infrastructure strategy and operations.
- Cross-functional collaboration across Product, Product Engineering, AI/ML, Security, and Finance.
- Focus on building reliable, scalable, secure, developer-friendly, and cost-efficient systems.
- Equal opportunity workplace committed to diversity and inclusion.
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