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.


🧭 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.