Summary
✨ AI‑Generated
An Infrastructure Engineer is needed to build scalable cloud and AI infrastructure. The role involves Kubernetes platforms, infrastructure automation, data pipelines, security, reliability engineering, and supporting advanced AI workloads.
Highlights
Join an early-stage engineering team building large-scale cloud, data, and AI infrastructure with significant technical ownership and impact.
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.
