Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI): Building and scaling cloud infrastructure, Kubernetes platforms, and deployment systems for high-volume data platforms and production LLM applications with an accent on multi-tenant deployments, cost efficiency, security, and observability. Focus on operating inference workloads, evaluation pipelines, model integrations, and reliable agentic workflows across SaaS, single-tenant, and private environments.
Location: Hybrid, based out of the downtown San Francisco office; remote work is available.
Salary: $200,000–$275,000 per year, depending on experience, plus equity.
Company
LlamaIndex builds AI products and infrastructure for document understanding and knowledge access.
What you will do
- Build and maintain foundational infrastructure that enables engineering teams and supports company growth.
- Design scalable infrastructure for SaaS, single-tenant, and private deployments.
- Manage and optimize cloud resources and Kubernetes clusters for cost, performance, and reliability.
- Improve release and deployment processes and maintain clear infrastructure boundaries for customer deployments.
- Implement security measures and support compliance across deployment environments.
- Build and operate infrastructure for production LLM applications, including model integrations, inference workloads, evaluation pipelines, observability, and agentic workflows.
Requirements
- 8+ years of engineering experience.
- Experience on Platform or Infrastructure teams with Terraform or CDKTF, Kubernetes, Helm, test infrastructure, release management, and observability.
- Experience optimizing cloud resource utilization and tuning Kubernetes clusters for cost and performance.
- Hands-on experience with LLM tooling and production AI systems, including model APIs, agent or RAG frameworks, evaluation and tracing tools, and LLM workload operations.
- Ability to balance speed and pragmatism while building infrastructure for different stages of company growth.
- Willingness to contribute to and help develop the engineering culture.
Nice to have
- Experience building infrastructure from the ground up at a fast-growing startup.
- Experience with Prometheus, Grafana, New Relic, ArgoCD, Flux, SOC2 compliance and audits, Python, Postgres, and multi-cloud deployments.
Culture & Benefits
- Hybrid-friendly work environment with a San Francisco office.
- Opportunity to work on innovative AI products and infrastructure.
- Collaborative engineering culture with opportunities for professional growth.
- Equity compensation and comprehensive medical, dental, and vision coverage.
- Unlimited paid time off, daily catered lunch, and snacks at the San Francisco office.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
6 дней назад
AI Infrastructure Engineer
180 000 - 400 000$
5 дней назад
Senior Engineer I, Platform, Cloud (AWS/Kubernetes)
155 000 - 175 000$
3 дня назад
Staff Software Engineer (DevOps / Platform Engineering) (AI)
180 000 - 250 000$
4 дня назад
Infrastructure Engineer (AI)
3 дня назад
Staff Software Engineer, Platform (AI)
180 000 - 240 000$
4 дня назад
Platform Engineer (AI)
250 000 - 300 000$