Infrastructure Engineer (Elite AI startup)

☁️ 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.