Summary
✨ AI‑Generated
An infrastructure engineering role focused on designing secure cloud platforms, Kubernetes environments, automation systems, and scalable data infrastructure for AI-driven workloads.
Highlights
Join an early-stage engineering team building large-scale cloud infrastructure and solving complex AI, data, security, and reliability challenges.
Description
☁️ Infrastructure Engineer
Stack: AWS, GCP, Azure, Kubernetes, Docker, Terraform, Pulumi, Spark, Kafka, Databricks, AI/ML Infrastructure
This role is Hybrid/Onsite with flexibility BUT candidates must reside or be willing to relocate to New York or the San Francisco area.
🧭 Why This Role
Join a Series A AI company as one of its first elite 20 engineers and help shape its infrastructure from the ground up.Solve complex cloud, data, security, and AI infrastructure problems with immediate customer impact.
🛠️ You will:
Build scalable cloud and Kubernetes infrastructure.Develop private cloud and BYOC deployments.Build large-scale data ingestion and ETL pipelines.Own IaC, CI/CD, observability, and production reliability.Design secure infrastructure for sensitive financial data.Support LLM, GPU, and agent workloads.
🧩 Skills:
4–5+ years in infrastructure, platform, SRE, DevOps, or data infrastructure.Strong AWS, GCP, or Azure experience.Production experience with Kubernetes, Docker, and Terraform/Pulumi.Experience building CI/CD and production infrastructure.Experience with data pipelines using Spark, Kafka, Databricks, or similar.Strong systems, reliability, and security fundamentals.
🪶 Other Skills:
AI/ML, LLM, GPU, or agent infrastructure.Multi-cloud and enterprise deployment experience.Private cloud or BYOC environments.Financial services, security, or compliance experience.
🧬 How The Company Works
Early-stage – 0 to 1 real quick, small team with significant technical influence.Customer-driven – Strong demand means what you build gets used.Builder culture – Engineers create foundational systems and solve ambiguous problems.High autonomy – Own major projects from design through production.
