Cloud & AI Infra Engineer — On-Site SF/NYC

Syndesus; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Equity

On-site (SF/NYC)

Job summary

Syndesus is seeking an Infrastructure Engineer to help build the foundational cloud and data platforms for an ambitious AI startup. You will join as one of the first 20 engineers, owning critical infra from design to production and scale.

This is a hands-on, high-impact role in a fast-growing environment. You will work across AWS, GCP, and Azure, leverage Kubernetes and IaC tools, and collaborate with AI research and product teams to enable scalable, secure, and reliable infrastructure for

Qualifications

• 4–5+ years of cloud, platform, infrastructure, DevOps, SRE, or data infrastructure experience.
• Strong expertise with AWS, GCP, or Azure.
• Strong production experience with Kubernetes and Docker/containerization.
• Experience with Terraform, Pulumi, or other IaC tooling.
• Experience building CI/CD pipelines and production deployment infrastructure.
• Experience with data ingestion, ETL, or data pipelines, using Spark, Kafka, or Databricks.
• Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana.
• 0-to-1 infrastructure ownership; building systems from scratch.
• Experience in a high-growth startup or similar engineering environment.
• Strong Computer Science academic background.

Responsibilities

• Design and build scalable cloud infrastructure across AWS, GCP, and Azure.
• Build and operate Kubernetes and containerized production environments.
• Develop infrastructure for secure private cloud and BYOC deployments.
• Build complex data ingestion and ETL pipelines for structured and unstructured financial data.
• Implement infrastructure-as-code using Terraform, Pulumi, or similar tooling.
• Build and improve CI/CD, monitoring, logging, alerting, and observability systems.
• Design security-first infrastructure with access controls, audit trails, tenant isolation, and data governance.
• Partner with AI Research and Product teams on LLM inference, training, GPU workloads, and agent infrastructure.
• Own infrastructure projects from initial architecture through production and scale.
• Collaborate with cross-functional teams to align infra with product goals.

Skills

Cloud engineering

AWS/GCP/Azure

Kubernetes

Docker

IaC (Terraform/Pulumi)

CI/CD

Data pipelines

Datadog/Prometheus/Grafana

0-to-1 ownership

Startup experience

CS background

Education

Bachelor's in Computer Science

Tools

Kubernetes

Docker

Terraform

Pulumi

Datadog

Spark

Kafka

Databricks

Job description

Syndesus is seeking an Infrastructure Engineer to help build the foundational cloud and data platforms for an ambitious AI startup. You will join as one of the first 20 engineers, owning critical infra from design to production and scale.

This is a hands-on, high-impact role in a fast-growing environment. You will work across AWS, GCP, and Azure, leverage Kubernetes and IaC tools, and collaborate with AI research and product teams to enable scalable, secure, and reliable infrastructure for