
Senior Infra Engineer
LlamaIndex6 months ago
Base Salary
$180k - $250k/yr
Responsibilities
- Build and maintain foundational systems that empower developers and support company growth.
- Design and implement scalable infrastructure for SaaS, single-tenant, and private deployments.
- Manage and optimize cloud resources and Kubernetes clusters for cost-effectiveness and performance.
- Maintain infrastructure boundaries and principles that enable successful external customer deployments.
- Improve release and deployment processes for greater efficiency and reliability.
- Ensure regulatory compliance and implement security measures across deployment environments.
- Help develop LlamaIndex’s engineering culture as the company grows.
Requirements
- At least 5 years of engineering experience.
- Experience working on platform or infrastructure teams on significant infrastructure projects.
- Experience with infrastructure components such as Terraform or CDKTF, Kubernetes, Helm, test infrastructure, release management, and observability.
- Experience optimizing cloud resource utilization and tuning Kubernetes clusters and cloud resources for cost and performance.
- Ability to balance speed and pragmatism while building solutions appropriate to each stage of company growth.
- Preferred experience building infrastructure from the ground up at a fast-growing startup.
- Preferred experience with Prometheus, Grafana, New Relic, ArgoCD, Flux, security compliance and cloud audits such as SOC2, Python, Postgres, and multi-cloud deployments.
Benefits
- Hybrid-friendly work culture based out of the downtown San Francisco office.
- Competitive base salary and equity compensation.
- Comprehensive medical, dental, and vision coverage for employees and families.
- Unlimited paid time off.
- Daily catered lunch and snacks in the San Francisco office.
Tech Stack
Categories
About LlamaIndex
LlamaParse is the most accurate agentic OCR platform for production AI — purpose-built for the documents agents actually encounter in the real world. Unlike general-purpose models that guess at structure, LlamaParse is engineered for complex layouts, dense tables, handwritten annotations, and scanned pages. Every page is automatically routed to the optimal model, so accuracy and cost are optimized without manual configuration. Trusted by teams at Lovable, 8am, Tabs, KPMG, and others running document-intensive workflows across legal, finance, healthcare, and more.